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217 changes: 217 additions & 0 deletions docs/migration-1.x-to-2.x.md
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# Migrating from 1.x to 2.x

`2.x` is a breaking major release. Every change is a bug fix or brings Python to
parity with the JavaScript and Java SDKs. The two changes most likely to touch
your code are the typed, per-operation **error hierarchy** and the
**serialize/deserialize round trip on the first run**.

There is no compatibility shim: removed names (for example `CallableRuntimeError`)
are gone with no alias. If you are not ready to migrate, stay on `1.x`.

> Instrumentation plugins are out of scope here. The experimental `plugins=` hook
> already existed in `1.x`; `2.x` adds opt-in auto-discovery and `PluginLoadError`.
> Because plugins are opt-in and still evolving, they are documented with the
> plugin/OpenTelemetry feature rather than in this guide.

## What Changed and What to Do

| Change | What you must do |

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To help w seo and instead of table (formatting on table for longer text can be limiting)... taking example from https://github.com/aws/aws-sdk-js-v3/blob/main/UPGRADING.md or https://docs.python.org/3/whatsnew/3.12.html#porting-to-python-3-12, how about a

## Porting to 2.0
### CallableruntimeErrror removed
<<before>>.
<<after>>
Catch `StepError`, `InvokeError`, `ChildContextError`, or `WaitForConditionError` (or the base `DurableOperationError`) instead of `CallableRuntimeError`. 

### Remove x
<<before>>
<<after>>

this also makes it more feasible to have meaningful little code snippets in triple backticks etc.

| --- | --- |
| `CallableRuntimeError`, `UserlandError`, `CallableRuntimeErrorSerializableDetails` removed; typed per-operation errors added | Catch `StepError`, `InvokeError`, `ChildContextError`, or `WaitForConditionError` (or the base `DurableOperationError`) instead of `CallableRuntimeError`. |
| `CallbackError` moved out of the termination tree; graded subtypes added | Remove any `termination_reason == TerminationReason.CALLBACK_ERROR` check (the enum member is gone). Optionally catch `CallbackTimeoutError` / `CallbackExternalError` / `CallbackSubmitterError`. |
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| `BatchResult.throw_if_error()` now raises a typed error | Replace `except CallableRuntimeError` with `ChildContextError` (ordinary item failure), `SerDesError` (item serialize/deserialize failure), and `BatchCompletionError` (custom `should_complete` failed the batch with no item error). `ChildContextError` and `BatchCompletionError` share the base `DurableOperationError`, but `SerDesError` does not, so catch `(DurableOperationError, SerDesError)` or list all three. |
| Serialization/deserialization failures surface as `SerDesError`, a direct child of `DurableExecutionsError` (not `ExecutionError`) | If you caught serdes failures with `except ExecutionError`, catch `SerDesError` (or `DurableExecutionsError`) instead. |
| First-run serialize/deserialize round trip for `step`, child contexts, `map`/`parallel`, and `wait_for_condition` | On the first run these now return `deserialize(serialize(x))`, the same canonical value replay returns. If you relied on the raw pre-serialization object, use the deserialized shape instead (or make your `SerDes` round-trip identity). Ensure `wait_for_condition` `initial_state` is serializable by the configured serdes. For a transient serdes failure, raise the new `RetryableSerDesError` (retries) instead of `SerDesError` (permanent). |
| `InvokeConfig.timeout` and `InvokeConfig.timeout_seconds` removed | Remove them. Enforce any timeout inside the invoked function or as a separate timer. |
| Removed `ItemBatcher`, `ItemsPerBatchUnit`, `BatchedInput`, `TerminationMode`, `StepFuture`, `MapConfig.item_batcher`, `ChildConfig.item_serdes`; also `ChainedInvokeFailedToStartType`, `ChainedInvokeTimeoutType`, `ChainedInvokeStopType` (from `lambda_service`) | Remove all uses. Replace `ChildConfig.item_serdes` with `ChildConfig.serdes`. |
| `MapConfig` / `ParallelConfig` / `CompletionConfig` validate arguments at construction (e.g. `max_concurrency=0` or `min_successful=0` now raise `ValidationError`); `min_successful > total` is validated at the `map()`/`parallel()` call, not at construction | Wrap config construction, and the `map()`/`parallel()` call, in `try/except ValidationError` when inputs are external. |
| `CompletionConfig.all_completed()` now actually tolerates all failures | If you hand-built the old all-`None` config, use the factory instead. The default `map` / `parallel` completion config is now fail-fast; use `MapConfig(completion_config=CompletionConfig.all_completed())` or `ParallelConfig(completion_config=CompletionConfig.all_completed())` to preserve process-all behavior. |
| `BatchResult.all` now omits never-started branches, so `total_count` and positional iteration differ for early-completed batches | If you index `.all` by original position or expect `total_count` to include unstarted branches, update that logic. |
| For `map`/`parallel`, a custom `summary_generator` output is now stored under a `"summary"` key in an SDK-owned envelope (it no longer replaces the checkpoint payload). `ChildConfig.summary_generator` is unchanged: its output is still checkpointed verbatim | If you parse `map`/`parallel` summary payloads from execution history, read the `"summary"` key from the envelope. Child-context summary consumers need no change. |
| `WaitDecision` removed; `WaitStrategyConfig.timeout` / `timeout_seconds` removed | Use `WaitForConditionDecision` (`stop_polling()` / `continue_waiting(delay)`). |
| `wait_for_condition` raises `WaitForConditionError` when it exhausts `max_attempts` | Catch `WaitForConditionError` instead of inspecting the returned state. |

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empy str payloads? 1.x dropped them when serializing; 2.x preserves them (b448f3e). A workflow that observed None in 1.x can observe "" in 2.x.

Find affected code before upgrading:
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```bash
rg -n "CallableRuntimeError|UserlandError|CallableRuntimeErrorSerializableDetails" .
rg -n "CallbackError|CALLBACK_ERROR" .
rg -n "InvokeConfig\(|\.timeout_seconds" .
rg -n "WaitDecision|WaitStrategyConfig\(|item_batcher|ItemBatcher|ItemsPerBatchUnit" .
rg -n "TerminationMode|BatchedInput|StepFuture|ChildConfig\(" .
rg -n "ChainedInvoke|except ExecutionError" .
```

## Error Handling (the biggest change)

In `1.x` nearly every user-land failure surfaced as one `CallableRuntimeError`,
so a failed step was indistinguishable from a failed invoke or child branch. `2.x`
raises a specific type per operation, all under a new base `DurableOperationError`.
Inspect the failure through its fields, not `__cause__`: `error_type`, `message`,
`data`, and `stack_trace`. Do not rely on `__cause__` being the original
exception - the SDK reconstructs a `DurableOperationError` stand-in carrying
those same fields (on both the first run and replay, for determinism), so the
original type is not preserved (a `ValueError` does not stay a `ValueError`) and
custom attributes are lost.

For `StepError`, `InvokeError`, `ChildContextError`, and `WaitForConditionError`,
`error_type` is the name of the error that escaped your code (e.g. `"ValueError"`).
The graded callback errors are different: `CallbackTimeoutError`,
`CallbackExternalError`, and `CallbackSubmitterError` are constructed without the
originating `error_type`, so `error_type` is the callback class name, not the
underlying cause. Use the specific callback exception type (and `message` /
`data` / `stack_trace`) to distinguish those.

```python
# 1.x
from aws_durable_execution_sdk_python.exceptions import CallableRuntimeError
try:
result = context.step(charge_card, name="charge")
except CallableRuntimeError as e:
context.logger.error("something failed: %s", e.message)

# 2.x
from aws_durable_execution_sdk_python import StepError, DurableOperationError
try:
result = context.step(charge_card, name="charge")
except StepError as e: # or `except DurableOperationError` to catch any operation
context.logger.error("charge step failed: %s", e.message)
```

New types, all exported from the package root: `DurableOperationError` (base),
`StepError`, `InvokeError`, `ChildContextError`, `WaitForConditionError`,
`CallbackError` (+ `CallbackExternalError`, `CallbackTimeoutError`,
`CallbackSubmitterError`), plus `SerDesError` (now exported) and
`RetryableSerDesError`. `SerDesError` stays a direct child of
`DurableExecutionsError`; `RetryableSerDesError` is a retryable `InvocationError`.

### Callbacks

`context.wait_for_callback(...)` returns the payload directly and raises the
callback error from the call itself (there is no `callback.result()`):

```python
from aws_durable_execution_sdk_python import (
CallbackError, CallbackTimeoutError, CallbackSubmitterError,
)
try:
payload = context.wait_for_callback(submit_approval, name="approval")
except CallbackTimeoutError:
... # timeout / heartbeat expiry
except CallbackSubmitterError:
... # the submitter step failed
except CallbackError as e: # external + internal
context.logger.error("callback failed: %s", e.message)
```

### map / parallel

`throw_if_error()` can raise three types: `ChildContextError` for the ordinary
item/branch failure, `SerDesError` if an item result failed to serialize or
deserialize, and `BatchCompletionError` when a custom `should_complete` predicate
marked the batch failed with no failed item (see the completion-predicate section
below). `ChildContextError` and `BatchCompletionError` share the base
`DurableOperationError`, but `SerDesError` does not, so catch
`(DurableOperationError, SerDesError)` or list all three explicitly.

```python
from aws_durable_execution_sdk_python import (
ChildContextError, SerDesError, BatchCompletionError,
)

result = context.map(items, process_item)
try:
result.throw_if_error()
except (ChildContextError, SerDesError, BatchCompletionError):
for err in result.get_errors(): # every failed item's ErrorObject
context.logger.error("%s: %s", err.type, err.message)
```

## Serialize/Deserialize Round Trip
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`1.x` returned the raw in-memory result on the first run but the deserialized
result on replay, so a non-identity custom `SerDes` produced different values.
`2.x` round-trips (`serialize` then `deserialize`) on the first run for `step`,
child contexts, `map`/`parallel`, and `wait_for_condition` (which also feeds the
deserialized state to the wait strategy). This makes first-run behavior match
replay for deterministic, reversible custom serdes. If your code depended on
the raw pre-serialization object on the first run, switch to the deserialized
shape (or make the serdes round-trip identity). This also surfaces genuine
serialization bugs on the first run instead of later on replay.

`invoke` and `wait` are unaffected. `wait_for_callback` is implemented via a
child context, so its result is serialized and deserialized before it returns:
do not rely on callback-result object identity. The enclosing child context uses
the default (extended-type) serdes, not `WaitForCallbackConfig.serdes`, so the
value your callback deserializer returns must itself be serializable by the
default serdes; otherwise the child raises `SerDesError`.

`wait_for_condition` also round-trips `initial_state` through the serdes before
the first check, so `initial_state` must now be serializable by the configured
serdes. Custom serdes should serialize polling state to a non-empty string; an
empty string checkpoint payload is currently treated as no stored polling state
on resume, so the operation may restart from `initial_state`.

## New in 2.x: Custom Completion Predicate (Optional)

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New features belong elsewhere, don't they?


`2.x` adds a `should_complete` predicate to `CompletionConfig`, giving `map` and
`parallel` full control over when a batch completes early. This is a new feature,
not a breaking change - no action is required unless you adopt it.
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```python
from aws_durable_execution_sdk_python import complete_batch, continue_batch
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from aws_durable_execution_sdk_python.config import CompletionConfig

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config = CompletionConfig(
should_complete=lambda status: (
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complete_batch() if status.success_count >= 2 else continue_batch()
)
)
```

The predicate receives a `CompletionStatus` snapshot (counts plus per-item
statuses) and returns a `CompletionDecision` - `continue_batch()`, or
`complete_batch(CompletionOutcome.SUCCEEDED)` / `complete_batch(CompletionOutcome.FAILED)`
(the outcome defaults to `SUCCEEDED`). A `FAILED` outcome marks the whole batch
failed; `throw_if_error()` then raises `BatchCompletionError` (a
`DurableOperationError` subtype) even when no individual item failed. Individual
item/branch failures still surface as `ChildContextError`. Notes:

- It cannot be combined with `min_successful` or the `tolerated_failure_*`
fields; doing so raises `ValidationError` at construction.
- The predicate runs before any branch is scheduled (`completed_count == 0`)
and on suspension state changes. At those points, unscheduled item statuses
are `None`; handle missing statuses explicitly so the predicate does not
fail the batch or complete it before useful work starts.
- The predicate must be deterministic, side-effect-free, and monotonic: once a
progress snapshot returns `complete_batch(outcome)`, every later snapshot
containing that progress must return `complete_batch(outcome)` with the same
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`CompletionOutcome`. Replaying an already-completed batch uses the
checkpointed decision, but a mid-run resume re-runs the batch live and
re-evaluates the predicate as completed branches replay, possibly in a
different order.
- New exports: `complete_batch`, `continue_batch`, `CompletionStatus`,
`CompletionDecision`, `CompletionOutcome`, `CompletionItemStatus`,
`BatchItemStatus`, `BatchCompletionError`.

## New in 2.x: Attempt Number in Contexts (Optional)

`StepContext` and `WaitForConditionCheckContext` now expose an `attempt` field
(the current attempt number, starting at 1). Read it inside a step or a
`wait_for_condition` check to branch on the retry count. The SDK injects these
contexts, so normal usage needs no change. But `attempt` is a required
dataclass field with no default: if you construct these contexts directly (in
tests, fixtures, or wrappers), you must now pass `attempt` or construction fails
with `TypeError`.

## Recommended Validation After Upgrading

1. Build and run your test suite against `2.x`, and grep for the removed names above.
2. Trigger a failure in a `step`, an `invoke`, and a `map`/`parallel` branch;
confirm you catch `StepError`, `InvokeError`, and `ChildContextError`.
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3. Exercise a `wait_for_callback` timeout and a submitter-step failure
(`CallbackTimeoutError`, `CallbackSubmitterError`).
4. Exercise a `wait_for_condition` that exhausts its attempts (`WaitForConditionError`).
5. If you use a custom `SerDes`, run a workflow that checkpoints a result, an
error payload, and `wait_for_condition` polling state; confirm first-run
output equals replay output.
Original file line number Diff line number Diff line change
Expand Up @@ -99,7 +99,17 @@ def wait_strategy(result: T, attempts_made: int) -> WaitForConditionDecision:

@dataclass(frozen=True)
class WaitForConditionConfig(Generic[T]):
"""Configuration for wait_for_condition."""
"""Configuration for wait_for_condition.

Attributes:
wait_strategy: Called after each poll with (state, attempts_made) and
returns a WaitForConditionDecision (continue_waiting or stop_polling).
initial_state: State passed to the first poll. It is round-tripped
through serdes (serialize then deserialize) before the first check,
so it must be serializable by the configured serdes.
serdes: SerDes used to serialize and deserialize the polled state at
each checkpoint. Defaults to the SDK's extended-type serdes when None.
"""

wait_strategy: Callable[[T, int], WaitForConditionDecision]
initial_state: T
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