Create a Topic channel, Make LastValue the default channel if not specified, Add default input and output keys

- Topic channel combines the features of Inbox, Archive, UniqueInbox, UniqueArchive, which have been removed.
This commit is contained in:
Nuno Campos
2023-11-04 17:40:12 +00:00
parent 124722c0c8
commit 7f76fbb699
19 changed files with 387 additions and 702 deletions
+8 -9
View File
@@ -22,13 +22,15 @@ Some of the use cases are:
Channels are used to communicate between chains. Each channel has a value type, an update type, and an update function which takes a sequence of updates and modifies the stored value. Channels can be used to send data from one chain to another, or to send data from a chain to itself in a future step. PermChain provides a number of built-in channels:
- `LastValue`: stores the last value sent to the channel, useful for input values, and single-value outputs
- `Inbox`: stores an ephemeral sequence of values sent to the channel, useful for sending data from one chain to another
- `UniqueInbox`: same as Inbox, but deduplicates values sent to the channel
- `Archive`: stores a persistent sequence of values sent to the channel, useful for accumulating data over multiple steps
- `UniqueArchive`: same as Archive, but deduplicates values sent to the channel
- `BinaryOperatorAggregate`: stores a persistent value, updated by applying a binary operator to the current value and each update sent to the channel, useful for computing aggregates over multiple steps. eg. `total = BinaryOperatorAggregate(int, operator.add)`
#### Basic channels: LastValue and Topic
- `LastValue`: The default channel, stores the last value sent to the channel, useful for input and output values, or for sending data from one step to the next
- `Topic`: A configurable PubSub Topic, useful for sending multiple values between chains, or for accumulating output. Can be configured to deduplicate values, and/or to accummulate values over the course of multiple steps.
#### Advanced channels: Context and BinaryOperatorAggregate
- `Context`: exposes the value of a context manager, managing its lifecycle. Useful for accessing external resources that require setup and/or teardown. eg. `client = Context(httpx.Client)`
- `BinaryOperatorAggregate`: stores a persistent value, updated by applying a binary operator to the current value and each update sent to the channel, useful for computing aggregates over multiple steps. eg. `total = BinaryOperatorAggregate(int, operator.add)`
### Chains
@@ -48,7 +50,6 @@ Repeat until no chains are planned for execution, or a maximum number of steps i
```python
from permchain import Channel, Pregel
from permchain.channels import LastValue
grow_value = (
Channel.subscribe_to("value")
@@ -58,13 +59,11 @@ grow_value = (
app = Pregel(
chains={"grow_value": grow_value},
channels={"value": LastValue(str)},
input="value",
output="value",
)
assert app.invoke("a") == "aaaaaaaa"
```
Check `examples` for more examples.
+47 -45
View File
@@ -25,8 +25,8 @@
"from langchain.schema.document import Document\n",
"from langchain.schema import format_document\n",
"\n",
"from permchain import Channel, Pregel, PregelRead\n",
"from permchain.channels import LastValue, Inbox"
"from permchain import Channel, Pregel\n",
"from permchain.channels import LastValue, Topic"
]
},
{
@@ -209,18 +209,15 @@
"source": [
"channels = {\n",
" # input\n",
" \"question\": LastValue(str),\n",
" \"docs\": Inbox(Document),\n",
" \"docs\": Topic(Document),\n",
" # intermediate\n",
" \"docs_to_finalize\": Inbox(Document),\n",
" # output\n",
" \"answer\": LastValue(str),\n",
" \"docs_to_finalize\": Topic(Document),\n",
"}"
]
},
{
"cell_type": "code",
"execution_count": 11,
"execution_count": 23,
"id": "67370694-86f4-4b64-9d4f-38b2e306abeb",
"metadata": {},
"outputs": [],
@@ -234,12 +231,16 @@
" return Channel.write_to(\"docs_to_finalize\")\n",
"\n",
"\n",
"def split_docs_with_question(input: dict[str, str | list[Document]]) -> list[dict[str, str | list[Document]]]:\n",
" return [\n",
" {\"docs\": docs, \"question\": input[\"question\"]}\n",
" for docs in _split_list_of_docs(input[\"docs\"])\n",
" ]\n",
"\n",
"\n",
"collapse = (\n",
" Channel.subscribe_to(\"docs\")\n",
" | _split_list_of_docs\n",
" | {\"docs_list\": RunnablePassthrough(), \"question\": PregelRead(\"question\")}\n",
" # {docs: list[list[Doc]], question: str} -> list[{docs: list[Doc], question: str}]\n",
" | (lambda x: [{\"docs\": docs, \"question\": x[\"question\"]} for docs in x[\"docs_list\"]])\n",
" Channel.subscribe_to([\"docs\", \"question\"])\n",
" | split_docs_with_question\n",
" | stuff_chain.map() # Collapse each list of docs to a single string\n",
" | (lambda x: [Document(page_content=s) for s in x]) # A new (smaller) list of docs\n",
" | decide\n",
@@ -255,7 +256,7 @@
},
{
"cell_type": "code",
"execution_count": 12,
"execution_count": 24,
"id": "3019e7d2-ab7f-4868-b43c-ad898d824a26",
"metadata": {},
"outputs": [],
@@ -274,7 +275,7 @@
},
{
"cell_type": "code",
"execution_count": 13,
"execution_count": 25,
"id": "69fcb829-3dae-432a-8db3-11bbb179a7d2",
"metadata": {},
"outputs": [
@@ -283,51 +284,52 @@
"output_type": "stream",
"text": [
"\u001b[36;1m\u001b[1;3m[pregel/step]\u001b[0m \u001b[1mStarting step 0 with 1 task. Next tasks:\n",
"\u001b[0m- collapse((Document(page_content='Harrison used to work at Kensho'),\n",
" Document(page_content='Ankush worked at Facebook'),\n",
" Document(page_content='Harrison used to work at Kensho'),\n",
" Document(page_content='Ankush worked at Facebook'),\n",
" Document(page_content='Harrison used to work at Kensho'),\n",
" Document(page_content='Ankush worked at Facebook'),\n",
" Document(page_content='Harrison used to work at Kensho'),\n",
" Document(page_content='Ankush worked at Facebook'),\n",
" Document(page_content='Harrison used to work at Kensho'),\n",
" Document(page_content='Ankush worked at Facebook')))\n",
"\u001b[0m- collapse({'docs': [Document(page_content='Harrison used to work at Kensho'),\n",
" Document(page_content='Ankush worked at Facebook'),\n",
" Document(page_content='Harrison used to work at Kensho'),\n",
" Document(page_content='Ankush worked at Facebook'),\n",
" Document(page_content='Harrison used to work at Kensho'),\n",
" Document(page_content='Ankush worked at Facebook'),\n",
" Document(page_content='Harrison used to work at Kensho'),\n",
" Document(page_content='Ankush worked at Facebook'),\n",
" Document(page_content='Harrison used to work at Kensho'),\n",
" Document(page_content='Ankush worked at Facebook')],\n",
" 'question': 'where did harrison work'})\n",
"\u001b[36;1m\u001b[1;3m[pregel/checkpoint]\u001b[0m \u001b[1mFinishing step 0. Channel values:\n",
"\u001b[0m{'docs': (...), 'question': 'where did harrison work'}\n",
"\u001b[0m{'docs': [...], 'docs_to_finalize': [], 'question': 'where did harrison work'}\n",
"\u001b[36;1m\u001b[1;3m[pregel/step]\u001b[0m \u001b[1mStarting step 1 with 1 task. Next tasks:\n",
"\u001b[0m- collapse((Document(page_content='Harrison used to work at Kensho.'),\n",
" Document(page_content='Harrison used to work at Kensho.'),\n",
" Document(page_content='Harrison used to work at Kensho.'),\n",
" Document(page_content='Harrison used to work at Kensho.'),\n",
" Document(page_content='Harrison used to work at Kensho.')))\n",
"\u001b[0m- collapse({'docs': [Document(page_content='Harrison used to work at Kensho.'),\n",
" Document(page_content='Harrison used to work at Kensho.'),\n",
" Document(page_content='Harrison used to work at Kensho.'),\n",
" Document(page_content='Harrison used to work at Kensho.'),\n",
" Document(page_content='Harrison used to work at Kensho.')],\n",
" 'question': 'where did harrison work'})\n",
"\u001b[36;1m\u001b[1;3m[pregel/checkpoint]\u001b[0m \u001b[1mFinishing step 1. Channel values:\n",
"\u001b[0m{'docs': (...), 'question': 'where did harrison work'}\n",
"\u001b[0m{'docs': [...], 'docs_to_finalize': [], 'question': 'where did harrison work'}\n",
"\u001b[36;1m\u001b[1;3m[pregel/step]\u001b[0m \u001b[1mStarting step 2 with 1 task. Next tasks:\n",
"\u001b[0m- collapse((Document(page_content='Harrison used to work at Kensho.'),\n",
" Document(page_content='Harrison used to work at Kensho.'),\n",
" Document(page_content='Harrison used to work at Kensho.')))\n",
"\u001b[0m- collapse({'docs': [Document(page_content='Harrison used to work at Kensho.'),\n",
" Document(page_content='Harrison used to work at Kensho.'),\n",
" Document(page_content='Harrison used to work at Kensho.')],\n",
" 'question': 'where did harrison work'})\n",
"\u001b[36;1m\u001b[1;3m[pregel/checkpoint]\u001b[0m \u001b[1mFinishing step 2. Channel values:\n",
"\u001b[0m{'docs': (...),\n",
" 'docs_to_finalize': (...),\n",
" 'question': 'where did harrison work'}\n",
"\u001b[0m{'docs': [], 'docs_to_finalize': [...], 'question': 'where did harrison work'}\n",
"\u001b[36;1m\u001b[1;3m[pregel/step]\u001b[0m \u001b[1mStarting step 3 with 1 task. Next tasks:\n",
"\u001b[0m- finalize({'docs': (Document(page_content='Harrison used to work at Kensho.'),\n",
" Document(page_content='Harrison used to work at Kensho.'))})\n",
"\u001b[0m- finalize({'docs': [Document(page_content='Harrison used to work at Kensho.'),\n",
" Document(page_content='Harrison used to work at Kensho.')]})\n",
"\u001b[36;1m\u001b[1;3m[pregel/checkpoint]\u001b[0m \u001b[1mFinishing step 3. Channel values:\n",
"\u001b[0m{'answer': 'Harrison worked at Kensho.',\n",
" 'docs': (...),\n",
" 'docs_to_finalize': (...),\n",
"\u001b[0m{'answer': 'Harrison used to work at Kensho.',\n",
" 'docs': [],\n",
" 'docs_to_finalize': [],\n",
" 'question': 'where did harrison work'}\n"
]
},
{
"data": {
"text/plain": [
"'Harrison worked at Kensho.'"
"'Harrison used to work at Kensho.'"
]
},
"execution_count": 13,
"execution_count": 25,
"metadata": {},
"output_type": "execute_result"
}
+3 -25
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@@ -75,12 +75,6 @@ reviser_chain = reviser_prompt | gpt3 | StrOutputParser()
# application
channels = {
"question": LastValue(str),
"draft": LastValue(str),
"notes": LastValue(str),
}
drafter = (
# subscribe to question channel as a dict with a single key, "question"
Channel.subscribe_to(["question"]) | drafter_chain | Channel.write_to("draft")
@@ -105,7 +99,6 @@ reviser = (
)
draft_revise_loop = Pregel(
channels=channels,
chains={
"drafter": drafter,
"editor": editor,
@@ -113,27 +106,12 @@ draft_revise_loop = Pregel(
},
# input will be a dict with a single key, "question"
input=["question"],
# output will be a dict with keys "draft" and "notes"
output=["draft", "notes"],
# output will be the value of "draft"
output="draft",
# debug logging
debug=True,
)
# run
for draft in draft_revise_loop.stream({"question": "What food do turtles eat?"}):
print(draft)
print("---")
async def main():
async for draft in draft_revise_loop.astream(
{"question": "What food do turtles eat?"}
):
print(draft)
print("---")
# import asyncio
# asyncio.run(main())
print(draft_revise_loop.invoke({"question": "What food do turtles eat?"}))
-2
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@@ -1,5 +1,4 @@
from permchain import Channel, Pregel
from permchain.channels import LastValue
grow_value = (
Channel.subscribe_to("value")
@@ -9,7 +8,6 @@ grow_value = (
app = Pregel(
chains={"grow_value": grow_value},
channels={"value": LastValue(str)},
input="value",
output="value",
)
+11 -21
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@@ -7,7 +7,8 @@ from langchain.schema.runnable import RunnableLambda, RunnablePassthrough
from langchain.utils.html import extract_sub_links
from permchain import Channel, Pregel
from permchain.channels import Archive, Context, LastValue, UniqueArchive, UniqueInbox
from permchain.channels.context import Context
from permchain.channels.topic import Topic
# Load url with sync httpx client
@@ -85,39 +86,28 @@ def recursive_web_loader(
metadata_extractor = metadata_extractor or _metadata_extractor
# define the channels
channels = {
"base_url": LastValue(str),
"next_urls": UniqueInbox(str),
"documents": Archive(Document),
"visited": UniqueArchive(str),
"next_urls": Topic(str, unique=True),
"documents": Topic(Document, accumulate=True),
"client": Context(httpx_client, httpx_aclient),
}
# the main chain that gets executed recursively
# while there are urls in next_urls
visitor = (
# while there are urls in next_urls
# run the chain below for each url in next_urls
# adding the current values of visited set, base_url and httpx client
Channel.subscribe_to_each("next_urls", key="url").join(
["visited", "client", "base_url"]
)
# adding the current values of base_url and httpx client
Channel.subscribe_to_each("next_urls", key="url").join(["client", "base_url"])
# load the url (with sync and async implementations)
| RunnablePassthrough.assign(body=RunnableLambda(load_url, load_url_async))
| Channel.write_to(
# send this url to the visited set
visited=lambda x: x["url"],
# send a new document to the documents stream
documents=lambda x: Document(
page_content=extractor(x["body"]),
metadata=metadata_extractor(x["body"], x["url"]),
),
# send the next urls to the next_urls set
# only if not visited already
next_urls=lambda x: [
url
for url in extract_sub_links(
x["body"], x["url"], base_url=x["base_url"]
)
if url not in x["visited"] and url != x["url"]
],
# send the next urls to the next_urls topic
next_urls=lambda x: extract_sub_links(
x["body"], x["url"], base_url=x["base_url"]
),
)
)
return Pregel(
+3 -7
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@@ -1,15 +1,11 @@
from permchain.channels.archive import Archive, UniqueArchive
from permchain.channels.binop import BinaryOperatorAggregate
from permchain.channels.context import Context
from permchain.channels.inbox import Inbox, UniqueInbox
from permchain.channels.last_value import LastValue
from permchain.channels.topic import Topic
__all__ = [
"LastValue",
"Inbox",
"UniqueInbox",
"Archive",
"UniqueArchive",
"BinaryOperatorAggregate",
"Topic",
"Context",
"BinaryOperatorAggregate",
]
-94
View File
@@ -1,94 +0,0 @@
import json
from contextlib import contextmanager
from typing import Any, FrozenSet, Generator, Generic, Optional, Sequence, Type
from typing_extensions import Self
from permchain.channels.base import BaseChannel, EmptyChannelError, Value
from permchain.channels.inbox import flatten
class Archive(Generic[Value], BaseChannel[Sequence[Value], Value | list[Value]]):
"""Stores all unique values received, persists across steps."""
def __init__(self, typ: Type[Value]) -> None:
self.typ = typ
self.set = list[Value]()
@property
def ValueType(self) -> Any:
"""The type of the value stored in the channel."""
return Sequence[self.typ] # type: ignore[name-defined]
@property
def UpdateType(self) -> Type[Value]:
"""The type of the update received by the channel."""
return self.typ
@contextmanager
def empty(self, checkpoint: Optional[str] = None) -> Generator[Self, None, None]:
empty = self.__class__(self.typ)
if checkpoint is not None:
empty.set = json.loads(checkpoint)
try:
yield empty
finally:
pass
def update(self, values: Sequence[Value | list[Value]]) -> None:
self.set.extend(flatten(values))
def get(self) -> Sequence[Value]:
try:
return tuple(self.set)
except AttributeError:
raise EmptyChannelError()
def checkpoint(self) -> str:
try:
return json.dumps(self.set)
except AttributeError:
raise EmptyChannelError()
class UniqueArchive(Generic[Value], BaseChannel[FrozenSet[Value], Value]):
"""Stores all unique values received, persists across steps."""
def __init__(self, typ: Type[Value]) -> None:
self.typ = typ
self.set = set[Value]()
@property
def ValueType(self) -> Type[FrozenSet[Value]]:
"""The type of the value stored in the channel."""
return FrozenSet[self.typ] # type: ignore[name-defined]
@property
def UpdateType(self) -> Type[Value]:
"""The type of the update received by the channel."""
return self.typ
@contextmanager
def empty(self, checkpoint: Optional[str] = None) -> Generator[Self, None, None]:
empty = self.__class__(self.typ)
if checkpoint is not None:
empty.set = set(json.loads(checkpoint))
try:
yield empty
finally:
pass
def update(self, values: Sequence[Value | list[Value]]) -> None:
self.set.update(flatten(values))
def get(self) -> FrozenSet[Value]:
try:
return frozenset(self.set)
except AttributeError:
raise EmptyChannelError()
def checkpoint(self) -> str:
try:
return json.dumps(list(self.set))
except AttributeError:
raise EmptyChannelError()
+2
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@@ -45,6 +45,8 @@ class BinaryOperatorAggregate(Generic[Value], BaseChannel[Value, Value]):
pass
def update(self, values: Sequence[Value]) -> None:
if not values:
return
if not hasattr(self, "value"):
self.value = values[0]
values = values[1:]
+2 -1
View File
@@ -97,7 +97,8 @@ class Context(Generic[Value], BaseChannel[Value, None]):
yield empty
def update(self, values: Sequence[None]) -> None:
raise InvalidUpdateError()
if values:
raise InvalidUpdateError()
def get(self) -> Value:
try:
-115
View File
@@ -1,115 +0,0 @@
import json
from contextlib import contextmanager
from typing import (
Any,
FrozenSet,
Generator,
Generic,
Iterator,
Optional,
Sequence,
Type,
Union,
)
from typing_extensions import Self
from permchain.channels.base import BaseChannel, EmptyChannelError, Value
def flatten(values: Sequence[Value | list[Value]]) -> Iterator[Value]:
for value in values:
if isinstance(value, list):
yield from value
else:
yield value
class Inbox(Generic[Value], BaseChannel[Sequence[Value], Value | list[Value]]):
"""Stores all values received, resets in each step."""
def __init__(self, typ: Type[Value]) -> None:
self.typ = typ
@property
def ValueType(self) -> Type[Sequence[Value]]:
"""The type of the value stored in the channel."""
return Sequence[self.typ] # type: ignore[name-defined]
@property
def UpdateType(self) -> Any:
"""The type of the update received by the channel."""
return Union[self.typ, Sequence[self.typ]] # type: ignore[name-defined]
@contextmanager
def empty(self, checkpoint: Optional[str] = None) -> Generator[Self, None, None]:
empty = self.__class__(self.typ)
if checkpoint is not None:
empty.queue = tuple(json.loads(checkpoint))
try:
yield empty
finally:
try:
del empty.queue
except AttributeError:
pass
def update(self, values: Sequence[Value | list[Value]]) -> None:
self.queue = tuple(flatten(values))
def get(self) -> Sequence[Value]:
try:
return self.queue
except AttributeError:
raise EmptyChannelError()
def checkpoint(self) -> str:
try:
return json.dumps(self.queue)
except AttributeError:
raise EmptyChannelError()
class UniqueInbox(Generic[Value], BaseChannel[FrozenSet[Value], Value | list[Value]]):
"""Stores all unique values received, resets in each step."""
def __init__(self, typ: Type[Value]) -> None:
self.typ = typ
@property
def ValueType(self) -> Type[FrozenSet[Value]]:
"""The type of the value stored in the channel."""
return FrozenSet[self.typ] # type: ignore[name-defined]
@property
def UpdateType(self) -> Any:
"""The type of the update received by the channel."""
return Union[self.typ, Sequence[self.typ]] # type: ignore[name-defined]
@contextmanager
def empty(self, checkpoint: Optional[str] = None) -> Generator[Self, None, None]:
empty = self.__class__(self.typ)
if checkpoint is not None:
empty.queue = frozenset(json.loads(checkpoint))
try:
yield empty
finally:
try:
del empty.queue
except AttributeError:
pass
def update(self, values: Sequence[Value | list[Value]]) -> None:
self.queue = frozenset(flatten(values))
def get(self) -> FrozenSet[Value]:
try:
return self.queue
except AttributeError:
raise EmptyChannelError()
def checkpoint(self) -> str:
try:
return json.dumps(self.queue)
except AttributeError:
raise EmptyChannelError()
+2
View File
@@ -42,6 +42,8 @@ class LastValue(Generic[Value], BaseChannel[Value, Value]):
pass
def update(self, values: Sequence[Value]) -> None:
if len(values) == 0:
return
if len(values) != 1:
raise InvalidUpdateError()
+76
View File
@@ -0,0 +1,76 @@
import json
from contextlib import contextmanager
from typing import Any, Generator, Generic, Iterator, Optional, Sequence, Type, Union
from typing_extensions import Self
from permchain.channels.base import BaseChannel, Value
def flatten(values: Sequence[Value | list[Value]]) -> Iterator[Value]:
for value in values:
if isinstance(value, list):
yield from value
else:
yield value
class Topic(Generic[Value], BaseChannel[Sequence[Value], Value | list[Value]]):
"""A configurable PubSub Topic.
Args:
typ: The type of the value stored in the channel.
unique: Whether to discard duplicate values.
accumulate: Whether to accummulate values across steps. If False, the channel will be emptied after each step.
"""
def __init__(
self, typ: Type[Value], unique: bool = False, accumulate: bool = False
) -> None:
# attrs
self.typ = typ
self.unique = unique
self.accumulate = accumulate
# state
self.seen = set[Value]()
self.values = list[Value]()
@property
def ValueType(self) -> Any:
"""The type of the value stored in the channel."""
return Sequence[self.typ] # type: ignore[name-defined]
@property
def UpdateType(self) -> Type[Value]:
"""The type of the update received by the channel."""
return Union[self.typ, list[self.typ]] # type: ignore[name-defined]
@contextmanager
def empty(self, checkpoint: Optional[str] = None) -> Generator[Self, None, None]:
empty = self.__class__(self.typ, self.unique, self.accumulate)
if checkpoint is not None:
parsed = json.loads(checkpoint)
empty.seen = set(parsed["seen"])
empty.values = list(parsed["values"])
try:
yield empty
finally:
pass
def update(self, values: Sequence[Value | list[Value]]) -> None:
if not self.accumulate:
self.values = list[Value]()
if flat_values := flatten(values):
if self.unique:
for value in flat_values:
if value not in self.seen:
self.seen.add(value)
self.values.append(value)
else:
self.values.extend(flat_values)
def get(self) -> Sequence[Value]:
return list(self.values)
def checkpoint(self) -> str:
return json.dumps({"seen": list(self.seen), "values": self.values})
+8 -4
View File
@@ -99,13 +99,13 @@ class Channel:
class Pregel(RunnableSerializable[dict[str, Any] | Any, dict[str, Any] | Any]):
channels: Mapping[str, BaseChannel]
chains: Mapping[str, ChannelInvoke | ChannelBatch]
output: str | Sequence[str]
channels: Mapping[str, BaseChannel] = Field(default_factory=dict)
input: str | Sequence[str]
output: str | Sequence[str] = "output"
input: str | Sequence[str] = "input"
step_timeout: Optional[float] = None
@@ -421,6 +421,10 @@ def _apply_writes_and_prepare_next_tasks(
updated_channels.add(chan)
else:
logger.warning(f"Skipping write for channel {chan} which has no readers")
# Channels that weren't updated in this step are notified of a new step
for chan in channels:
if chan not in updated_channels:
channels[chan].update([])
tasks: list[tuple[Runnable, Any, str]] = []
# Check if any processes should be run in next step
+5 -4
View File
@@ -1,6 +1,7 @@
from typing import Mapping, Sequence
from typing import Any, Mapping, Sequence
from permchain.channels.base import BaseChannel
from permchain.channels.last_value import LastValue
from permchain.pregel.read import ChannelBatch, ChannelInvoke
@@ -23,7 +24,7 @@ def validate_chains_channels(
for chan in subscribed_channels:
if chan not in channels:
raise ValueError(f"Channel {chan} is subscribed to, but not initialized")
channels[chan] = LastValue(Any)
if isinstance(input, str):
if input not in subscribed_channels:
@@ -36,8 +37,8 @@ def validate_chains_channels(
if isinstance(output, str):
if output not in channels:
raise ValueError(f"Output channel {output} is not initialized")
channels[output] = LastValue(Any)
else:
for chan in output:
if chan not in channels:
raise ValueError(f"Output channel {chan} is not initialized")
channels[chan] = LastValue(Any)
Generated
+66 -109
View File
@@ -840,73 +840,68 @@ files = [
[[package]]
name = "greenlet"
version = "3.0.0"
version = "3.0.1"
description = "Lightweight in-process concurrent programming"
optional = false
python-versions = ">=3.7"
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{file = "greenlet-3.0.1.tar.gz", hash = "sha256:816bd9488a94cba78d93e1abb58000e8266fa9cc2aa9ccdd6eb0696acb24005b"},
]
[package.extras]
@@ -2063,27 +2058,6 @@ files = [
docs = ["furo (>=2023.7.26)", "proselint (>=0.13)", "sphinx (>=7.1.1)", "sphinx-autodoc-typehints (>=1.24)"]
test = ["appdirs (==1.4.4)", "covdefaults (>=2.3)", "pytest (>=7.4)", "pytest-cov (>=4.1)", "pytest-mock (>=3.11.1)"]
[[package]]
name = "playwright"
version = "1.39.0"
description = "A high-level API to automate web browsers"
optional = false
python-versions = ">=3.8"
files = [
{file = "playwright-1.39.0-py3-none-macosx_10_13_x86_64.whl", hash = "sha256:384e195a6d09343f319031cf552e9cd601ede78fe9c082b9fa197537c5cbfe7a"},
{file = "playwright-1.39.0-py3-none-macosx_11_0_arm64.whl", hash = "sha256:d2c3634411828d9273196ed6f69f2fa7645c89732b3c982dcf09ab03ed4c5d2b"},
{file = "playwright-1.39.0-py3-none-macosx_11_0_universal2.whl", hash = "sha256:d2fd90f370599cf9a2c6a041bd79a5eeec62baf0e943c7c5c2079b29be476d2a"},
{file = "playwright-1.39.0-py3-none-manylinux1_x86_64.whl", hash = "sha256:699a8e707ca5f3567aa28223ee1be7e42d2bf25eda7d3d86babda71e36e5f16f"},
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{file = "playwright-1.39.0-py3-none-win32.whl", hash = "sha256:40ed7f2546c64f1bb3d22b2295b4d43ed5a2f0b7ea7599d93a72f723a1883e1e"},
{file = "playwright-1.39.0-py3-none-win_amd64.whl", hash = "sha256:a420d814e21b05e1156747e2a9fae6c3cca2b46bb4a0226fb26ee65538ce09c9"},
]
[package.dependencies]
greenlet = "3.0.0"
pyee = "11.0.1"
typing-extensions = {version = "*", markers = "python_version <= \"3.8\""}
[[package]]
name = "pluggy"
version = "1.3.0"
@@ -2328,23 +2302,6 @@ files = [
[package.dependencies]
typing-extensions = ">=4.6.0,<4.7.0 || >4.7.0"
[[package]]
name = "pyee"
version = "11.0.1"
description = "A rough port of Node.js's EventEmitter to Python with a few tricks of its own"
optional = false
python-versions = ">=3.8"
files = [
{file = "pyee-11.0.1-py3-none-any.whl", hash = "sha256:9bcc9647822234f42c228d88de63d0f9ffa881e87a87f9d36ddf5211f6ac977d"},
{file = "pyee-11.0.1.tar.gz", hash = "sha256:a642c51e3885a33ead087286e35212783a4e9b8d6514a10a5db4e57ac57b2b29"},
]
[package.dependencies]
typing-extensions = "*"
[package.extras]
dev = ["black", "flake8", "flake8-black", "isort", "jupyter-console", "mkdocs", "mkdocs-include-markdown-plugin", "mkdocstrings[python]", "pytest", "pytest-asyncio", "pytest-trio", "toml", "tox", "trio", "trio", "trio-typing", "twine", "twisted", "validate-pyproject[all]"]
[[package]]
name = "pygments"
version = "2.16.1"
@@ -2963,19 +2920,19 @@ win32 = ["pywin32"]
[[package]]
name = "setuptools"
version = "67.8.0"
version = "68.2.2"
description = "Easily download, build, install, upgrade, and uninstall Python packages"
optional = false
python-versions = ">=3.7"
python-versions = ">=3.8"
files = [
{file = "setuptools-67.8.0-py3-none-any.whl", hash = "sha256:5df61bf30bb10c6f756eb19e7c9f3b473051f48db77fddbe06ff2ca307df9a6f"},
{file = "setuptools-67.8.0.tar.gz", hash = "sha256:62642358adc77ffa87233bc4d2354c4b2682d214048f500964dbe760ccedf102"},
{file = "setuptools-68.2.2-py3-none-any.whl", hash = "sha256:b454a35605876da60632df1a60f736524eb73cc47bbc9f3f1ef1b644de74fd2a"},
{file = "setuptools-68.2.2.tar.gz", hash = "sha256:4ac1475276d2f1c48684874089fefcd83bd7162ddaafb81fac866ba0db282a87"},
]
[package.extras]
docs = ["furo", "jaraco.packaging (>=9)", "jaraco.tidelift (>=1.4)", "pygments-github-lexers (==0.0.5)", "rst.linker (>=1.9)", "sphinx (>=3.5)", "sphinx-favicon", "sphinx-hoverxref (<2)", "sphinx-inline-tabs", "sphinx-lint", "sphinx-notfound-page (==0.8.3)", "sphinx-reredirects", "sphinxcontrib-towncrier"]
testing = ["build[virtualenv]", "filelock (>=3.4.0)", "flake8-2020", "ini2toml[lite] (>=0.9)", "jaraco.envs (>=2.2)", "jaraco.path (>=3.2.0)", "pip (>=19.1)", "pip-run (>=8.8)", "pytest (>=6)", "pytest-black (>=0.3.7)", "pytest-checkdocs (>=2.4)", "pytest-cov", "pytest-enabler (>=1.3)", "pytest-mypy (>=0.9.1)", "pytest-perf", "pytest-ruff", "pytest-timeout", "pytest-xdist", "tomli-w (>=1.0.0)", "virtualenv (>=13.0.0)", "wheel"]
testing-integration = ["build[virtualenv]", "filelock (>=3.4.0)", "jaraco.envs (>=2.2)", "jaraco.path (>=3.2.0)", "pytest", "pytest-enabler", "pytest-xdist", "tomli", "virtualenv (>=13.0.0)", "wheel"]
docs = ["furo", "jaraco.packaging (>=9.3)", "jaraco.tidelift (>=1.4)", "pygments-github-lexers (==0.0.5)", "rst.linker (>=1.9)", "sphinx (>=3.5)", "sphinx-favicon", "sphinx-hoverxref (<2)", "sphinx-inline-tabs", "sphinx-lint", "sphinx-notfound-page (>=1,<2)", "sphinx-reredirects", "sphinxcontrib-towncrier"]
testing = ["build[virtualenv]", "filelock (>=3.4.0)", "flake8-2020", "ini2toml[lite] (>=0.9)", "jaraco.develop (>=7.21)", "jaraco.envs (>=2.2)", "jaraco.path (>=3.2.0)", "pip (>=19.1)", "pytest (>=6)", "pytest-black (>=0.3.7)", "pytest-checkdocs (>=2.4)", "pytest-cov", "pytest-enabler (>=2.2)", "pytest-mypy (>=0.9.1)", "pytest-perf", "pytest-ruff", "pytest-timeout", "pytest-xdist", "tomli-w (>=1.0.0)", "virtualenv (>=13.0.0)", "wheel"]
testing-integration = ["build[virtualenv] (>=1.0.3)", "filelock (>=3.4.0)", "jaraco.envs (>=2.2)", "jaraco.path (>=3.2.0)", "packaging (>=23.1)", "pytest", "pytest-enabler", "pytest-xdist", "tomli", "virtualenv (>=13.0.0)", "wheel"]
[[package]]
name = "six"
@@ -3524,4 +3481,4 @@ testing = ["big-O", "jaraco.functools", "jaraco.itertools", "more-itertools", "p
[metadata]
lock-version = "2.0"
python-versions = ">=3.8.1,<4.0"
content-hash = "0abda52d59fdb79b9a0d9ddb838fc6952fc92715bd7fe075da17bc25ec2489f0"
content-hash = "ce9a7fe6e1972d14c6fd8aec807d4146098f6e4bc0efcbb0e8f10d922ff4901f"
-2
View File
@@ -35,8 +35,6 @@ optional = true
[tool.poetry.group.dev.dependencies]
jupyter = "^1.0.0"
playwright = "^1.28.0"
setuptools = "^67.6.1"
openai = "^0.27.8"
[tool.ruff]
+88 -38
View File
@@ -1,17 +1,16 @@
import operator
from contextlib import asynccontextmanager, contextmanager
from typing import AsyncGenerator, FrozenSet, Generator, Sequence, Union
from typing import AsyncGenerator, Generator, Sequence, Union
import httpx
import pytest
from pytest_mock import MockerFixture
from permchain.channels.archive import UniqueArchive
from permchain.channels.base import EmptyChannelError, InvalidUpdateError
from permchain.channels.binop import BinaryOperatorAggregate
from permchain.channels.context import Context
from permchain.channels.inbox import Inbox
from permchain.channels.last_value import LastValue
from permchain.channels.topic import Topic
def test_last_value() -> None:
@@ -46,57 +45,108 @@ async def test_last_value_async() -> None:
assert channel.get() == 4
def test_inbox() -> None:
with Inbox(str).empty() as channel:
def test_topic() -> None:
with Topic(str).empty() as channel:
assert channel.ValueType is Sequence[str]
assert channel.UpdateType is Union[str, Sequence[str]]
with pytest.raises(EmptyChannelError):
channel.get()
assert channel.UpdateType is Union[str, list[str]]
channel.update(["a", "b"])
assert channel.get() == ("a", "b")
channel.update([["c"], "d"])
assert channel.get() == ("c", "d")
assert channel.get() == ["a", "b"]
channel.update([["c", "d"], "d"])
assert channel.get() == ["c", "d", "d"]
channel.update([])
assert channel.get() == []
async def test_inbox_async() -> None:
async with Inbox(str).aempty() as channel:
async def test_topic_async() -> None:
async with Topic(str).aempty() as channel:
assert channel.ValueType is Sequence[str]
assert channel.UpdateType is Union[str, Sequence[str]]
with pytest.raises(EmptyChannelError):
channel.get()
assert channel.UpdateType is Union[str, list[str]]
channel.update(["a", "b"])
assert channel.get() == ("a", "b")
channel.update(["c"])
channel.update([["c"], "d"])
assert channel.get() == ("c", "d")
assert channel.get() == ["a", "b"]
channel.update(["b", ["c", "d"], "d"])
assert channel.get() == ["b", "c", "d", "d"]
channel.update([])
assert channel.get() == []
def test_set() -> None:
with UniqueArchive(str).empty() as channel:
assert channel.ValueType is FrozenSet[str]
assert channel.UpdateType is str
def test_topic_unique() -> None:
with Topic(str, unique=True).empty() as channel:
assert channel.ValueType is Sequence[str]
assert channel.UpdateType is Union[str, list[str]]
assert channel.get() == frozenset()
channel.update(["a", "b"])
assert channel.get() == frozenset(("a", "b"))
channel.update(["b", "c"])
assert channel.get() == frozenset(("a", "b", "c"))
assert channel.get() == ["a", "b"]
channel.update(["b", ["c", "d"], "d"])
assert channel.get() == ["c", "d"], "de-dupes from current and previous steps"
channel.update([])
assert channel.get() == []
async def test_set_async() -> None:
async with UniqueArchive(str).aempty() as channel:
assert channel.ValueType is FrozenSet[str]
assert channel.UpdateType is str
async def test_topic_unique_async() -> None:
async with Topic(str, unique=True).aempty() as channel:
assert channel.ValueType is Sequence[str]
assert channel.UpdateType is Union[str, list[str]]
assert channel.get() == frozenset()
channel.update(["a", "b"])
assert channel.get() == frozenset(("a", "b"))
channel.update(["b", "c"])
assert channel.get() == frozenset(("a", "b", "c"))
assert channel.get() == ["a", "b"]
channel.update(["b", ["c", "d"], "d"])
assert channel.get() == ["c", "d"], "de-dupes from current and previous steps"
channel.update([])
assert channel.get() == []
def test_topic_accumulate() -> None:
with Topic(str, accumulate=True).empty() as channel:
assert channel.ValueType is Sequence[str]
assert channel.UpdateType is Union[str, list[str]]
channel.update(["a", "b"])
assert channel.get() == ["a", "b"]
channel.update(["b", ["c", "d"], "d"])
assert channel.get() == ["a", "b", "b", "c", "d", "d"]
channel.update([])
assert channel.get() == ["a", "b", "b", "c", "d", "d"]
async def test_topic_accumulate_async() -> None:
async with Topic(str, accumulate=True).aempty() as channel:
assert channel.ValueType is Sequence[str]
assert channel.UpdateType is Union[str, list[str]]
channel.update(["a", "b"])
assert channel.get() == ["a", "b"]
channel.update(["b", ["c", "d"], "d"])
assert channel.get() == ["a", "b", "b", "c", "d", "d"]
channel.update([])
assert channel.get() == ["a", "b", "b", "c", "d", "d"]
def test_topic_unique_accumulate() -> None:
with Topic(str, unique=True, accumulate=True).empty() as channel:
assert channel.ValueType is Sequence[str]
assert channel.UpdateType is Union[str, list[str]]
channel.update(["a", "b"])
assert channel.get() == ["a", "b"]
channel.update(["b", ["c", "d"], "d"])
assert channel.get() == ["a", "b", "c", "d"]
channel.update([])
assert channel.get() == ["a", "b", "c", "d"]
async def test_topic_unique_accumulate_async() -> None:
async with Topic(str, unique=True, accumulate=True).aempty() as channel:
assert channel.ValueType is Sequence[str]
assert channel.UpdateType is Union[str, list[str]]
channel.update(["a", "b"])
assert channel.get() == ["a", "b"]
channel.update(["b", ["c", "d"], "d"])
assert channel.get() == ["a", "b", "c", "d"]
channel.update([])
assert channel.get() == ["a", "b", "c", "d"]
def test_binop() -> None:
+29 -115
View File
@@ -10,8 +10,8 @@ from pytest_mock import MockerFixture
from permchain import Channel, Pregel
from permchain.channels.base import InvalidUpdateError
from permchain.channels.context import Context
from permchain.channels.inbox import Inbox
from permchain.channels.last_value import LastValue
from permchain.channels.topic import Topic
def test_invoke_single_process_in_out(mocker: MockerFixture) -> None:
@@ -35,6 +35,17 @@ def test_invoke_single_process_in_out(mocker: MockerFixture) -> None:
assert app.invoke(2) == 3
def test_invoke_single_process_in_out_implicit_channels(mocker: MockerFixture) -> None:
add_one = mocker.Mock(side_effect=lambda x: x + 1)
chain = Channel.subscribe_to("input") | add_one | Channel.write_to("output")
app = Pregel(chains={"one": chain})
assert app.input_schema.schema() == {"title": "PregelInput"}
assert app.output_schema.schema() == {"title": "PregelOutput"}
assert app.invoke(2) == 3
def test_invoke_single_process_in_out_dict(mocker: MockerFixture) -> None:
add_one = mocker.Mock(side_effect=lambda x: x + 1)
chain = Channel.subscribe_to("input") | add_one | Channel.write_to("output")
@@ -43,19 +54,14 @@ def test_invoke_single_process_in_out_dict(mocker: MockerFixture) -> None:
chains={
"one": chain,
},
channels={
"input": LastValue(int),
"output": LastValue(int),
},
input="input",
output=["output"],
)
assert app.input_schema.schema() == {"title": "PregelInput", "type": "integer"}
assert app.input_schema.schema() == {"title": "PregelInput"}
assert app.output_schema.schema() == {
"title": "PregelOutput",
"type": "object",
"properties": {"output": {"title": "Output", "type": "integer"}},
"properties": {"output": {"title": "Output"}},
}
assert app.invoke(2) == {"output": 3}
@@ -68,10 +74,6 @@ def test_invoke_single_process_in_dict_out_dict(mocker: MockerFixture) -> None:
chains={
"one": chain,
},
channels={
"input": LastValue(int),
"output": LastValue(int),
},
input=["input"],
output=["output"],
)
@@ -79,12 +81,12 @@ def test_invoke_single_process_in_dict_out_dict(mocker: MockerFixture) -> None:
assert app.input_schema.schema() == {
"title": "PregelInput",
"type": "object",
"properties": {"input": {"title": "Input", "type": "integer"}},
"properties": {"input": {"title": "Input"}},
}
assert app.output_schema.schema() == {
"title": "PregelOutput",
"type": "object",
"properties": {"output": {"title": "Output", "type": "integer"}},
"properties": {"output": {"title": "Output"}},
}
assert app.invoke({"input": 2}) == {"output": 3}
@@ -98,13 +100,7 @@ def test_invoke_two_processes_in_out(mocker: MockerFixture) -> None:
app = Pregel(
chains={"chain_one": chain_one, "chain_two": chain_two},
channels={
"input": LastValue(int),
"output": LastValue(int),
"inbox": Inbox(int),
},
input="input",
output="output",
channels={"inbox": Topic(int)},
)
assert app.invoke(2) == 4
@@ -119,13 +115,8 @@ def test_invoke_two_processes_in_dict_out(mocker: MockerFixture) -> None:
app = Pregel(
chains={"chain_one": chain_one, "chain_two": chain_two},
channels={
"input": LastValue(int),
"output": LastValue(int),
"inbox": Inbox(int),
},
channels={"inbox": Topic(int)},
input=["input", "inbox"],
output="output",
)
assert [*app.stream({"input": 2, "inbox": 12})] == [13, 4] # [12 + 1, 2 + 1 + 1]
@@ -143,16 +134,7 @@ def test_batch_two_processes_in_out() -> None:
Channel.subscribe_to("one") | add_one_with_delay | Channel.write_to("output")
)
app = Pregel(
chains={"chain_one": chain_one, "chain_two": chain_two},
channels={
"input": LastValue(int),
"output": LastValue(int),
"one": LastValue(int),
},
input="input",
output="output",
)
app = Pregel(chains={"chain_one": chain_one, "chain_two": chain_two})
assert app.batch([3, 2, 1, 3, 5]) == [5, 4, 3, 5, 7]
@@ -161,20 +143,14 @@ def test_invoke_many_processes_in_out(mocker: MockerFixture) -> None:
test_size = 100
add_one = mocker.Mock(side_effect=lambda x: x + 1)
chans = {
"input": LastValue(int),
"output": LastValue(int),
"-1": LastValue(int),
}
chains = {"-1": Channel.subscribe_to("input") | add_one | Channel.write_to("-1")}
for i in range(test_size - 2):
chans[str(i)] = LastValue(int)
chains[str(i)] = (
Channel.subscribe_to(str(i - 1)) | add_one | Channel.write_to(str(i))
)
chains["last"] = Channel.subscribe_to(str(i)) | add_one | Channel.write_to("output")
app = Pregel(chains=chains, channels=chans, input="input", output="output")
app = Pregel(chains=chains)
for _ in range(10):
assert app.invoke(2, {"recursion_limit": test_size}) == 2 + test_size
@@ -189,20 +165,14 @@ def test_batch_many_processes_in_out(mocker: MockerFixture) -> None:
test_size = 100
add_one = mocker.Mock(side_effect=lambda x: x + 1)
chans = {
"input": LastValue(int),
"output": LastValue(int),
"-1": LastValue(int),
}
chains = {"-1": Channel.subscribe_to("input") | add_one | Channel.write_to("-1")}
for i in range(test_size - 2):
chans[str(i)] = LastValue(int)
chains[str(i)] = (
Channel.subscribe_to(str(i - 1)) | add_one | Channel.write_to(str(i))
)
chains["last"] = Channel.subscribe_to(str(i)) | add_one | Channel.write_to("output")
app = Pregel(chains=chains, channels=chans, input="input", output="output")
app = Pregel(chains=chains)
for _ in range(3):
assert app.batch([2, 1, 3, 4, 5], {"recursion_limit": test_size}) == [
@@ -229,15 +199,7 @@ def test_invoke_two_processes_two_in_two_out_invalid(mocker: MockerFixture) -> N
chain_one = Channel.subscribe_to("input") | add_one | Channel.write_to("output")
chain_two = Channel.subscribe_to("input") | add_one | Channel.write_to("output")
app = Pregel(
chains={"chain_one": chain_one, "chain_two": chain_two},
channels={
"input": LastValue(int),
"output": LastValue(int),
},
input="input",
output="output",
)
app = Pregel(chains={"chain_one": chain_one, "chain_two": chain_two})
with pytest.raises(InvalidUpdateError):
# LastValue channels can only be updated once per iteration
@@ -252,16 +214,11 @@ def test_invoke_two_processes_two_in_two_out_valid(mocker: MockerFixture) -> Non
app = Pregel(
chains={"chain_one": chain_one, "chain_two": chain_two},
channels={
"input": LastValue(int),
"output": Inbox(int),
},
input="input",
output="output",
channels={"output": Topic(int)},
)
# An Inbox channel accumulates updates into a sequence
assert app.invoke(2) == (3, 3)
assert app.invoke(2) == [3, 3]
def test_invoke_two_processes_two_in_join_two_out(mocker: MockerFixture) -> None:
@@ -280,13 +237,7 @@ def test_invoke_two_processes_two_in_join_two_out(mocker: MockerFixture) -> None
"chain_three": chain_three,
"chain_four": chain_four,
},
channels={
"input": LastValue(int),
"output": LastValue(int),
"inbox": Inbox(int),
},
input="input",
output="output",
channels={"inbox": Topic(int)},
)
# Then invoke app
@@ -306,13 +257,7 @@ def test_invoke_join_then_call_other_app(mocker: MockerFixture) -> None:
inner_app = Pregel(
chains={
"one": Channel.subscribe_to("input") | add_one | Channel.write_to("output")
},
channels={
"input": LastValue(int),
"output": LastValue(int),
},
input="input",
output="output",
}
)
chain_one = (
@@ -334,14 +279,7 @@ def test_invoke_join_then_call_other_app(mocker: MockerFixture) -> None:
"chain_two": chain_two,
"chain_three": chain_three,
},
channels={
"input": LastValue(int),
"output": LastValue(int),
"inbox_one": Inbox(int),
"outbox_one": LastValue(int),
},
input="input",
output="output",
channels={"inbox_one": Topic(int)},
)
for _ in range(10):
@@ -363,13 +301,6 @@ def test_invoke_two_processes_one_in_two_out(mocker: MockerFixture) -> None:
app = Pregel(
chains={"chain_one": chain_one, "chain_two": chain_two},
channels={
"input": LastValue(int),
"output": LastValue(int),
"between": LastValue(int),
},
input="input",
output="output",
)
assert [c for c in app.stream(2)] == [3, 4]
@@ -382,13 +313,6 @@ def test_invoke_two_processes_no_out(mocker: MockerFixture) -> None:
app = Pregel(
chains={"chain_one": chain_one, "chain_two": chain_two},
channels={
"input": LastValue(int),
"output": LastValue(int),
"between": LastValue(int),
},
input="input",
output="output",
)
# It finishes executing (once no more messages being published)
@@ -405,13 +329,6 @@ def test_invoke_two_processes_no_in(mocker: MockerFixture) -> None:
with pytest.raises(ValueError):
Pregel(
chains={"chain_one": chain_one, "chain_two": chain_two},
channels={
"input": LastValue(int),
"output": LastValue(int),
"between": LastValue(int),
},
input="input",
output="output",
)
@@ -436,12 +353,9 @@ def test_channel_enter_exit_timing(mocker: MockerFixture) -> None:
app = Pregel(
chains={"chain_one": chain_one, "chain_two": chain_two},
channels={
"input": LastValue(int),
"output": LastValue(int),
"inbox": Inbox(int),
"inbox": Topic(int),
"ctx": Context(an_int, typ=int),
},
input="input",
output=["inbox", "output"],
)
@@ -451,7 +365,7 @@ def test_channel_enter_exit_timing(mocker: MockerFixture) -> None:
assert setup.call_count == 1, "Expected setup to be called once"
assert cleanup.call_count == 0, "Expected cleanup to not be called yet"
if i == 0:
assert chunk == {"inbox": (3,)}
assert chunk == {"inbox": [3]}
elif i == 1:
assert chunk == {"output": 4}
else:
+37 -111
View File
@@ -9,8 +9,8 @@ from pytest_mock import MockerFixture
from permchain import Channel, Pregel
from permchain.channels.base import InvalidUpdateError
from permchain.channels.context import Context
from permchain.channels.inbox import Inbox
from permchain.channels.last_value import LastValue
from permchain.channels.topic import Topic
async def test_invoke_single_process_in_out(mocker: MockerFixture) -> None:
@@ -29,6 +29,21 @@ async def test_invoke_single_process_in_out(mocker: MockerFixture) -> None:
output="output",
)
assert app.input_schema.schema() == {"title": "PregelInput", "type": "integer"}
assert app.output_schema.schema() == {"title": "PregelOutput", "type": "integer"}
assert await app.ainvoke(2) == 3
async def test_invoke_single_process_in_out_implicit_channels(
mocker: MockerFixture
) -> None:
add_one = mocker.Mock(side_effect=lambda x: x + 1)
chain = Channel.subscribe_to("input") | add_one | Channel.write_to("output")
app = Pregel(chains={"one": chain})
assert app.input_schema.schema() == {"title": "PregelInput"}
assert app.output_schema.schema() == {"title": "PregelOutput"}
assert await app.ainvoke(2) == 3
@@ -40,19 +55,14 @@ async def test_invoke_single_process_in_out_dict(mocker: MockerFixture) -> None:
chains={
"one": chain,
},
channels={
"input": LastValue(int),
"output": LastValue(int),
},
input="input",
output=["output"],
)
assert app.input_schema.schema() == {"title": "PregelInput", "type": "integer"}
assert app.input_schema.schema() == {"title": "PregelInput"}
assert app.output_schema.schema() == {
"title": "PregelOutput",
"type": "object",
"properties": {"output": {"title": "Output", "type": "integer"}},
"properties": {"output": {"title": "Output"}},
}
assert await app.ainvoke(2) == {"output": 3}
@@ -65,10 +75,6 @@ async def test_invoke_single_process_in_dict_out_dict(mocker: MockerFixture) ->
chains={
"one": chain,
},
channels={
"input": LastValue(int),
"output": LastValue(int),
},
input=["input"],
output=["output"],
)
@@ -76,12 +82,12 @@ async def test_invoke_single_process_in_dict_out_dict(mocker: MockerFixture) ->
assert app.input_schema.schema() == {
"title": "PregelInput",
"type": "object",
"properties": {"input": {"title": "Input", "type": "integer"}},
"properties": {"input": {"title": "Input"}},
}
assert app.output_schema.schema() == {
"title": "PregelOutput",
"type": "object",
"properties": {"output": {"title": "Output", "type": "integer"}},
"properties": {"output": {"title": "Output"}},
}
assert await app.ainvoke({"input": 2}) == {"output": 3}
@@ -95,13 +101,7 @@ async def test_invoke_two_processes_in_out(mocker: MockerFixture) -> None:
app = Pregel(
chains={"chain_one": chain_one, "chain_two": chain_two},
channels={
"input": LastValue(int),
"output": LastValue(int),
"inbox": Inbox(int),
},
input="input",
output="output",
channels={"inbox": Topic(int)},
)
assert await app.ainvoke(2) == 4
@@ -116,13 +116,8 @@ async def test_invoke_two_processes_in_dict_out(mocker: MockerFixture) -> None:
pubsub = Pregel(
chains={"chain_one": chain_one, "chain_two": chain_two},
channels={
"input": LastValue(int),
"output": LastValue(int),
"inbox": Inbox(int),
},
channels={"inbox": Topic(int)},
input=["input", "inbox"],
output="output",
)
# [12 + 1, 2 + 1 + 1]
@@ -143,13 +138,7 @@ async def test_batch_two_processes_in_out() -> None:
app = Pregel(
chains={"chain_one": chain_one, "chain_two": chain_two},
channels={
"input": LastValue(int),
"output": LastValue(int),
"one": LastValue(int),
},
input="input",
output="output",
channels={"one": LastValue(int)},
)
assert await app.abatch([3, 2, 1, 3, 5]) == [5, 4, 3, 5, 7]
@@ -159,20 +148,14 @@ async def test_invoke_many_processes_in_out(mocker: MockerFixture) -> None:
test_size = 100
add_one = mocker.Mock(side_effect=lambda x: x + 1)
chans = {
"input": LastValue(int),
"output": LastValue(int),
"-1": LastValue(int),
}
chains = {"-1": Channel.subscribe_to("input") | add_one | Channel.write_to("-1")}
for i in range(test_size - 2):
chans[str(i)] = LastValue(int)
chains[str(i)] = (
Channel.subscribe_to(str(i - 1)) | add_one | Channel.write_to(str(i))
)
chains["last"] = Channel.subscribe_to(str(i)) | add_one | Channel.write_to("output")
app = Pregel(chains=chains, channels=chans, input="input", output="output")
app = Pregel(chains=chains)
# No state is left over from previous invocations
for _ in range(10):
@@ -188,20 +171,14 @@ async def test_batch_many_processes_in_out(mocker: MockerFixture) -> None:
test_size = 100
add_one = mocker.Mock(side_effect=lambda x: x + 1)
chans = {
"input": LastValue(int),
"output": LastValue(int),
"-1": LastValue(int),
}
chains = {"-1": Channel.subscribe_to("input") | add_one | Channel.write_to("-1")}
for i in range(test_size - 2):
chans[str(i)] = LastValue(int)
chains[str(i)] = (
Channel.subscribe_to(str(i - 1)) | add_one | Channel.write_to(str(i))
)
chains["last"] = Channel.subscribe_to(str(i)) | add_one | Channel.write_to("output")
app = Pregel(chains=chains, channels=chans, input="input", output="output")
app = Pregel(chains=chains)
# No state is left over from previous invocations
for _ in range(3):
@@ -231,15 +208,7 @@ async def test_invoke_two_processes_two_in_two_out_invalid(
chain_one = Channel.subscribe_to("input") | add_one | Channel.write_to("output")
chain_two = Channel.subscribe_to("input") | add_one | Channel.write_to("output")
app = Pregel(
chains={"chain_one": chain_one, "chain_two": chain_two},
channels={
"input": LastValue(int),
"output": LastValue(int),
},
input="input",
output="output",
)
app = Pregel(chains={"chain_one": chain_one, "chain_two": chain_two})
with pytest.raises(InvalidUpdateError):
# LastValue channels can only be updated once per iteration
@@ -254,16 +223,11 @@ async def test_invoke_two_processes_two_in_two_out_valid(mocker: MockerFixture)
app = Pregel(
chains={"chain_one": chain_one, "chain_two": chain_two},
channels={
"input": LastValue(int),
"output": Inbox(int),
},
input="input",
output="output",
channels={"output": Topic(int)},
)
# An Inbox channel accumulates updates into a sequence
assert await app.ainvoke(2) == (3, 3)
# An Topic channel accumulates updates into a sequence
assert await app.ainvoke(2) == [3, 3]
async def test_invoke_two_processes_two_in_join_two_out(mocker: MockerFixture) -> None:
@@ -282,13 +246,7 @@ async def test_invoke_two_processes_two_in_join_two_out(mocker: MockerFixture) -
"chain_three": chain_three,
"chain_four": chain_four,
},
channels={
"input": LastValue(int),
"output": LastValue(int),
"inbox": Inbox(int),
},
input="input",
output="output",
channels={"inbox": Topic(int)},
)
# Then invoke app
@@ -309,13 +267,7 @@ async def test_invoke_join_then_call_other_pubsub(mocker: MockerFixture) -> None
inner_app = Pregel(
chains={
"one": Channel.subscribe_to("input") | add_one | Channel.write_to("output")
},
channels={
"input": LastValue(int),
"output": LastValue(int),
},
input="input",
output="output",
}
)
chain_one = (
@@ -338,13 +290,9 @@ async def test_invoke_join_then_call_other_pubsub(mocker: MockerFixture) -> None
"chain_three": chain_three,
},
channels={
"input": LastValue(int),
"output": LastValue(int),
"inbox_one": Inbox(int),
"inbox_one": Topic(int),
"outbox_one": LastValue(int),
},
input="input",
output="output",
)
# Then invoke pubsub
@@ -366,16 +314,7 @@ async def test_invoke_two_processes_one_in_two_out(mocker: MockerFixture) -> Non
)
chain_two = Channel.subscribe_to("between") | add_one | Channel.write_to("output")
app = Pregel(
chains={"chain_one": chain_one, "chain_two": chain_two},
channels={
"input": LastValue(int),
"output": LastValue(int),
"between": LastValue(int),
},
input="input",
output="output",
)
app = Pregel(chains={"chain_one": chain_one, "chain_two": chain_two})
# Then invoke pubsub
assert [c async for c in app.astream(2)] == [3, 4]
@@ -386,20 +325,10 @@ async def test_invoke_two_processes_no_out(mocker: MockerFixture) -> None:
chain_one = Channel.subscribe_to("input") | add_one | Channel.write_to("between")
chain_two = Channel.subscribe_to("between") | add_one
app = Pregel(
chains={"chain_one": chain_one, "chain_two": chain_two},
channels={
"input": LastValue(int),
"output": LastValue(int),
"between": LastValue(int),
},
input="input",
output="output",
)
app = Pregel(chains={"chain_one": chain_one, "chain_two": chain_two})
# Then invoke pubsub
# It finishes executing (once no more messages being published)
# but returns nothing, as nothing was published to OUT topic
# but returns nothing, as nothing was published to "output" topic
assert await app.ainvoke(2) is None
@@ -434,12 +363,9 @@ async def test_channel_enter_exit_timing(mocker: MockerFixture) -> None:
app = Pregel(
chains={"chain_one": chain_one, "chain_two": chain_two},
channels={
"input": LastValue(int),
"output": LastValue(int),
"inbox": Inbox(int),
"inbox": Topic(int),
"ctx": Context(an_int, an_int_async, typ=int),
},
input="input",
output=["inbox", "output"],
)
@@ -459,7 +385,7 @@ async def test_channel_enter_exit_timing(mocker: MockerFixture) -> None:
assert setup_async.call_count == 1, "Expected setup to be called once"
assert cleanup_async.call_count == 0, "Expected cleanup to not be called yet"
if i == 0:
assert chunk == {"inbox": (3,)}
assert chunk == {"inbox": [3]}
elif i == 1:
assert chunk == {"output": 4}
else: