diff --git a/patchwork/common/client/llm/aio.py b/patchwork/common/client/llm/aio.py index fa8691193..19b9e63df 100644 --- a/patchwork/common/client/llm/aio.py +++ b/patchwork/common/client/llm/aio.py @@ -1,6 +1,7 @@ from __future__ import annotations import os +from pathlib import Path from openai.types.chat import ( ChatCompletion, @@ -54,10 +55,11 @@ def is_prompt_supported( tool_choice: ChatCompletionToolChoiceOptionParam | NotGiven = NOT_GIVEN, top_logprobs: Optional[int] | NotGiven = NOT_GIVEN, top_p: Optional[float] | NotGiven = NOT_GIVEN, + file: Path | NotGiven = NOT_GIVEN, ) -> int: for client in self.__clients: if client.is_model_supported(model): - return client.is_prompt_supported( + inputs = dict( messages=messages, model=model, frequency_penalty=frequency_penalty, @@ -74,6 +76,9 @@ def is_prompt_supported( top_logprobs=top_logprobs, top_p=top_p, ) + if file is not NotGiven: + inputs["file"] = file + return client.is_prompt_supported(**inputs) return -1 def truncate_messages( @@ -101,27 +106,31 @@ def chat_completion( tool_choice: ChatCompletionToolChoiceOptionParam | NotGiven = NOT_GIVEN, top_logprobs: Optional[int] | NotGiven = NOT_GIVEN, top_p: Optional[float] | NotGiven = NOT_GIVEN, + file: Path | NotGiven = NOT_GIVEN, ) -> ChatCompletion: for client in self.__clients: if client.is_model_supported(model): logger.debug(f"Using {client.__class__.__name__} for model {model}") - return client.chat_completion( - messages, - model, - frequency_penalty, - logit_bias, - logprobs, - max_tokens, - n, - presence_penalty, - response_format, - stop, - temperature, - tools, - tool_choice, - top_logprobs, - top_p, + inputs = dict( + messages=messages, + model=model, + frequency_penalty=frequency_penalty, + logit_bias=logit_bias, + logprobs=logprobs, + max_tokens=max_tokens, + n=n, + presence_penalty=presence_penalty, + response_format=response_format, + stop=stop, + temperature=temperature, + tools=tools, + tool_choice=tool_choice, + top_logprobs=top_logprobs, + top_p=top_p, ) + if file is not NotGiven: + inputs["file"] = file + return client.chat_completion(**inputs) client_names = [client.__class__.__name__ for client in self.__original_clients] raise ValueError( f"Model {model} is not supported by {client_names} clients. " diff --git a/patchwork/common/client/llm/anthropic.py b/patchwork/common/client/llm/anthropic.py index e51a2d867..19d14be61 100644 --- a/patchwork/common/client/llm/anthropic.py +++ b/patchwork/common/client/llm/anthropic.py @@ -3,6 +3,7 @@ import json import time from functools import lru_cache +from pathlib import Path from anthropic import Anthropic from anthropic.types import Message, MessageParam, TextBlockParam @@ -224,6 +225,7 @@ def is_prompt_supported( tool_choice: ChatCompletionToolChoiceOptionParam | NotGiven = NOT_GIVEN, top_logprobs: Optional[int] | NotGiven = NOT_GIVEN, top_p: Optional[float] | NotGiven = NOT_GIVEN, + file: Path | NotGiven = NOT_GIVEN, ) -> int: model_limit = self.__get_model_limit(model) input_kwargs = self.__adapt_chat_completion_request( @@ -273,6 +275,7 @@ def chat_completion( tool_choice: ChatCompletionToolChoiceOptionParam | NotGiven = NOT_GIVEN, top_logprobs: Optional[int] | NotGiven = NOT_GIVEN, top_p: Optional[float] | NotGiven = NOT_GIVEN, + file: Path | NotGiven = NOT_GIVEN, ) -> ChatCompletion: input_kwargs = self.__adapt_chat_completion_request( messages=messages, diff --git a/patchwork/common/client/llm/google.py b/patchwork/common/client/llm/google.py index 80884451e..cdc653ab0 100644 --- a/patchwork/common/client/llm/google.py +++ b/patchwork/common/client/llm/google.py @@ -1,17 +1,20 @@ from __future__ import annotations -import functools import time - -from google import generativeai -from google.generativeai.types.content_types import ( - add_object_type, - convert_to_nullable, - strip_titles, - unpack_defs, +from functools import lru_cache +from pathlib import Path + +import magic +from google import genai +from google.genai import types +from google.genai.types import ( + CountTokensConfig, + File, + GenerateContentConfig, + GenerateContentResponse, + Model, + Part, ) -from google.generativeai.types.generation_types import GenerateContentResponse -from google.generativeai.types.model_types import Model from openai.types import CompletionUsage from openai.types.chat import ( ChatCompletionMessage, @@ -21,17 +24,13 @@ completion_create_params, ) from openai.types.chat.chat_completion import ChatCompletion, Choice -from typing_extensions import Any, Dict, Iterable, List, Optional, Union +from pydantic import BaseModel +from typing_extensions import Any, Dict, Iterable, List, Optional, Type, Union from patchwork.common.client.llm.protocol import NOT_GIVEN, LlmClient, NotGiven from patchwork.common.client.llm.utils import json_schema_to_model -@functools.lru_cache -def _cached_list_model_from_google() -> list[Model]: - return list(generativeai.list_models()) - - class GoogleLlmClient(LlmClient): __SAFETY_SETTINGS = [ dict(category="HARM_CATEGORY_HATE_SPEECH", threshold="BLOCK_NONE"), @@ -43,20 +42,54 @@ class GoogleLlmClient(LlmClient): def __init__(self, api_key: str): self.__api_key = api_key - generativeai.configure(api_key=api_key) + self.client = genai.Client(api_key=api_key) + + @lru_cache(maxsize=1) + def __get_models_info(self) -> list[Model]: + return list(self.client.models.list()) def __get_model_limits(self, model: str) -> int: - for model_info in _cached_list_model_from_google(): - if model_info.name == f"{self.__MODEL_PREFIX}{model}": + for model_info in self.__get_models_info(): + if model_info.name == f"{self.__MODEL_PREFIX}{model}" and model_info.input_token_limit is not None: return model_info.input_token_limit return 1_000_000 + @lru_cache def get_models(self) -> set[str]: - return {model.name.removeprefix(self.__MODEL_PREFIX) for model in _cached_list_model_from_google()} + return {model_info.name.removeprefix(self.__MODEL_PREFIX) for model_info in self.__get_models_info()} def is_model_supported(self, model: str) -> bool: return model in self.get_models() + def __upload(self, file: Path | NotGiven) -> Part | File | None: + if file is NotGiven: + return None + + file_bytes = file.read_bytes() + + try: + mime_type = magic.Magic(mime=True, uncompress=True).from_buffer(file_bytes) + return types.Part.from_bytes(data=file_bytes, mime_type=mime_type) + except Exception as e: + pass + + cleaned_name = "".join([char for char in file.name.lower() if char.isalnum()]) + try: + file_ref = self.client.files.get(name=cleaned_name) + if file_ref.error is None: + return file_ref + except Exception as e: + pass + + try: + file_ref = self.client.files.upload(file=file, config=dict(name=cleaned_name)) + if file_ref.error is None: + return file_ref + except Exception as e: + pass + + return None + def is_prompt_supported( self, messages: Iterable[ChatCompletionMessageParam], @@ -74,11 +107,23 @@ def is_prompt_supported( tool_choice: ChatCompletionToolChoiceOptionParam | NotGiven = NOT_GIVEN, top_logprobs: Optional[int] | NotGiven = NOT_GIVEN, top_p: Optional[float] | NotGiven = NOT_GIVEN, + file: Path | NotGiven = NOT_GIVEN, ) -> int: - system, chat = self.__openai_messages_to_google_messages(messages) - gen_model = generativeai.GenerativeModel(model_name=model, system_instruction=system) + system, contents = self.__openai_messages_to_google_messages(messages) + + file_ref = self.__upload(file) + if file_ref is not None: + contents.append(file_ref) + try: - token_count = gen_model.count_tokens(chat).total_tokens + token_response = self.client.models.count_tokens( + model=model, + contents=contents, + config=CountTokensConfig( + system_instruction=system, + ), + ) + token_count = token_response.total_tokens except Exception as e: return -1 model_limit = self.__get_model_limits(model) @@ -122,6 +167,7 @@ def chat_completion( tool_choice: ChatCompletionToolChoiceOptionParam | NotGiven = NOT_GIVEN, top_logprobs: Optional[int] | NotGiven = NOT_GIVEN, top_p: Optional[float] | NotGiven = NOT_GIVEN, + file: Path | NotGiven = NOT_GIVEN, ) -> ChatCompletion: generation_dict = dict( stop_sequences=[stop] if isinstance(stop, str) else stop, @@ -141,20 +187,25 @@ def chat_completion( ) system_content, contents = self.__openai_messages_to_google_messages(messages) + file_ref = self.__upload(file) + if file_ref is not None: + contents.append(file_ref) - model_client = generativeai.GenerativeModel( - model_name=model, - safety_settings=self.__SAFETY_SETTINGS, - generation_config=NOT_GIVEN.remove_not_given(generation_dict), - system_instruction=system_content, + response = self.client.models.generate_content( + model=model, + contents=contents, + config=GenerateContentConfig( + system_instruction=system_content, + safety_settings=self.__SAFETY_SETTINGS, + **NotGiven.remove_not_given(generation_dict), + ), ) - response = model_client.generate_content(contents=contents) return self.__google_response_to_openai_response(response, model) @staticmethod def __google_response_to_openai_response(google_response: GenerateContentResponse, model: str) -> ChatCompletion: choices = [] - for candidate in google_response.candidates: + for index, candidate in enumerate(google_response.candidates): # note that instead of system, from openai, its model, from google. parts = [part.text or part.inline_data for part in candidate.content.parts] @@ -167,7 +218,7 @@ def __google_response_to_openai_response(google_response: GenerateContentRespons choice = Choice( finish_reason=finish_reason_map.get(candidate.finish_reason, "stop"), - index=candidate.index, + index=index, message=ChatCompletionMessage( content="\n".join(parts), role="assistant", @@ -191,18 +242,9 @@ def __google_response_to_openai_response(google_response: GenerateContentRespons ) @staticmethod - def json_schema_to_google_schema(json_schema: dict[str, Any] | None) -> dict[str, Any] | None: + def json_schema_to_google_schema(json_schema: dict[str, Any] | None) -> Type[BaseModel] | None: if json_schema is None: return None model = json_schema_to_model(json_schema) - parameters = model.model_json_schema() - defs = parameters.pop("$defs", {}) - - for name, value in defs.items(): - unpack_defs(value, defs) - unpack_defs(parameters, defs) - convert_to_nullable(parameters) - add_object_type(parameters) - strip_titles(parameters) - return parameters + return model diff --git a/patchwork/common/client/llm/openai_.py b/patchwork/common/client/llm/openai_.py index ee04796db..42f6513b7 100644 --- a/patchwork/common/client/llm/openai_.py +++ b/patchwork/common/client/llm/openai_.py @@ -1,6 +1,7 @@ from __future__ import annotations import functools +from pathlib import Path import tiktoken from openai import OpenAI @@ -82,6 +83,7 @@ def is_prompt_supported( tool_choice: ChatCompletionToolChoiceOptionParam | NotGiven = NOT_GIVEN, top_logprobs: Optional[int] | NotGiven = NOT_GIVEN, top_p: Optional[float] | NotGiven = NOT_GIVEN, + file: Path | NotGiven = NOT_GIVEN, ) -> int: # might not implement model endpoint if self.__is_not_openai_url(): @@ -125,6 +127,7 @@ def chat_completion( tool_choice: ChatCompletionToolChoiceOptionParam | NotGiven = NOT_GIVEN, top_logprobs: Optional[int] | NotGiven = NOT_GIVEN, top_p: Optional[float] | NotGiven = NOT_GIVEN, + file: Path | NotGiven = NOT_GIVEN, ) -> ChatCompletion: input_kwargs = dict( messages=messages, diff --git a/patchwork/common/client/llm/protocol.py b/patchwork/common/client/llm/protocol.py index 51d0da1fc..3577b2102 100644 --- a/patchwork/common/client/llm/protocol.py +++ b/patchwork/common/client/llm/protocol.py @@ -1,5 +1,7 @@ from __future__ import annotations +from pathlib import Path + from openai.types.chat import ( ChatCompletion, ChatCompletionMessageParam, @@ -51,6 +53,7 @@ def is_prompt_supported( tool_choice: ChatCompletionToolChoiceOptionParam | NotGiven = NOT_GIVEN, top_logprobs: Optional[int] | NotGiven = NOT_GIVEN, top_p: Optional[float] | NotGiven = NOT_GIVEN, + file: Path | NotGiven = NOT_GIVEN, ) -> int: ... @@ -135,5 +138,6 @@ def chat_completion( tool_choice: ChatCompletionToolChoiceOptionParam | NotGiven = NOT_GIVEN, top_logprobs: Optional[int] | NotGiven = NOT_GIVEN, top_p: Optional[float] | NotGiven = NOT_GIVEN, + file: Path | NotGiven = NOT_GIVEN, ) -> ChatCompletion: ... diff --git a/patchwork/steps/CallLLM/CallLLM.py b/patchwork/steps/CallLLM/CallLLM.py index 9816a60a7..def62b780 100644 --- a/patchwork/steps/CallLLM/CallLLM.py +++ b/patchwork/steps/CallLLM/CallLLM.py @@ -11,10 +11,7 @@ from rich.markup import escape from patchwork.common.client.llm.aio import AioLlmClient -from patchwork.common.client.llm.anthropic import AnthropicLlmClient -from patchwork.common.client.llm.google import GoogleLlmClient -from patchwork.common.client.llm.openai_ import OpenAiLlmClient -from patchwork.common.constants import DEFAULT_PATCH_URL, TOKEN_URL +from patchwork.common.constants import TOKEN_URL from patchwork.logger import logger from patchwork.step import Step, StepStatus from patchwork.steps.CallLLM.typed import CallLLMInputs, CallLLMOutputs @@ -54,31 +51,9 @@ def __init__(self, inputs: dict): self.save_responses_to_file = inputs.get("save_responses_to_file", None) self.model = inputs.get("model", "gpt-4o-mini") self.allow_truncated = inputs.get("allow_truncated", False) - - clients = [] - - patched_key = inputs.get("patched_api_key") - if patched_key is not None: - client = OpenAiLlmClient(patched_key, DEFAULT_PATCH_URL) - clients.append(client) - - openai_key = inputs.get("openai_api_key") or os.environ.get("OPENAI_API_KEY") - if openai_key is not None: - client_args = {key[len("client_") :]: value for key, value in inputs.items() if key.startswith("client_")} - client = OpenAiLlmClient(openai_key, **client_args) - clients.append(client) - - google_key = inputs.get("google_api_key") - if google_key is not None: - client = GoogleLlmClient(google_key) - clients.append(client) - - anthropic_key = inputs.get("anthropic_api_key") - if anthropic_key is not None: - client = AnthropicLlmClient(anthropic_key) - clients.append(client) - - if len(clients) == 0: + self.file = inputs.get("file", None) + self.client = AioLlmClient.create_aio_client(inputs) + if self.client is None: raise ValueError( f"Model API key not found.\n" f'Please login at: "{TOKEN_URL}",\n' @@ -89,8 +64,6 @@ def __init__(self, inputs: dict): "If you are using an OpenAI API Key, please set `--openai_api_key=`.\n" ) - self.client = AioLlmClient(*clients) - def __persist_to_file(self, contents): # Convert relative path to absolute path file_path = os.path.abspath(self.save_responses_to_file) @@ -143,15 +116,19 @@ def __call(self, prompts: list[list[dict]]) -> list[_InnerCallLLMResponse]: # Parse model arguments parsed_model_args = self.__parse_model_args() + kwargs = dict(parsed_model_args) + if self.file is not None: + kwargs["file"] = Path(self.file) + for prompt in prompts: - is_input_accepted = self.client.is_prompt_supported(prompt, self.model) > 0 + is_input_accepted = self.client.is_prompt_supported(model=self.model, messages=prompt, **kwargs) > 0 if not is_input_accepted: self.set_status(StepStatus.WARNING, "Input token limit exceeded.") prompt = self.client.truncate_messages(prompt, self.model) logger.trace(f"Message sent: \n{escape(indent(pformat(prompt), ' '))}") try: - completion = self.client.chat_completion(model=self.model, messages=prompt, **parsed_model_args) + completion = self.client.chat_completion(model=self.model, messages=prompt, **kwargs) except Exception as e: logger.error(e) completion = None diff --git a/patchwork/steps/CallLLM/typed.py b/patchwork/steps/CallLLM/typed.py index 50b97f13a..76ec65ae1 100644 --- a/patchwork/steps/CallLLM/typed.py +++ b/patchwork/steps/CallLLM/typed.py @@ -35,6 +35,7 @@ class CallLLMInputs(TypedDict, total=False): google_api_key: Annotated[ str, StepTypeConfig(is_config=True, or_op=["patched_api_key", "openai_api_key", "anthropic_api_key"]) ] + file: Annotated[str, StepTypeConfig(is_path=True)] class CallLLMOutputs(TypedDict): diff --git a/patchwork/steps/CreateIssue/CreateIssue.py b/patchwork/steps/CreateIssue/CreateIssue.py index c238dca2b..a165fc795 100644 --- a/patchwork/steps/CreateIssue/CreateIssue.py +++ b/patchwork/steps/CreateIssue/CreateIssue.py @@ -12,7 +12,7 @@ class CreateIssue(Step): - required_keys = {"issue_title", "issue_text", "scm_url"} + required_keys = {"issue_title", "issue_text"} def __init__(self, inputs: dict): super().__init__(inputs) @@ -27,7 +27,8 @@ def __init__(self, inputs: dict): else: raise ValueError(f'Missing required input data: "github_api_key" or "gitlab_api_key"') - self.scm_client.set_url(inputs["scm_url"]) + if "scm_url" in inputs.keys(): + self.scm_client.set_url(inputs["scm_url"]) self.issue_title = inputs["issue_title"] self.issue_text = inputs["issue_text"] diff --git a/patchwork/steps/LLM/LLM.py b/patchwork/steps/LLM/LLM.py index 213c0f395..76dbd025d 100644 --- a/patchwork/steps/LLM/LLM.py +++ b/patchwork/steps/LLM/LLM.py @@ -4,17 +4,13 @@ from patchwork.steps.ExtractModelResponse.ExtractModelResponse import ( ExtractModelResponse, ) -from patchwork.steps.LLM.typed import LLMInputs +from patchwork.steps.LLM.typed import LLMInputs, LLMOutputs from patchwork.steps.PreparePrompt.PreparePrompt import PreparePrompt -class LLM(Step): +class LLM(Step, input_class=LLMInputs, output_class=LLMOutputs): def __init__(self, inputs): super().__init__(inputs) - missing_keys = LLMInputs.__required_keys__.difference(set(inputs.keys())) - if len(missing_keys) > 0: - raise ValueError(f'Missing required data: "{missing_keys}"') - self.inputs = inputs def run(self) -> dict: diff --git a/patchwork/steps/LLM/typed.py b/patchwork/steps/LLM/typed.py index 38509c66b..03e5d6747 100644 --- a/patchwork/steps/LLM/typed.py +++ b/patchwork/steps/LLM/typed.py @@ -43,6 +43,7 @@ class LLMInputs(__LLMInputsRequired, total=False): google_api_key: Annotated[ str, StepTypeConfig(is_config=True, or_op=["patched_api_key", "openai_api_key", "anthropic_api_key"]) ] + file: Annotated[str, StepTypeConfig(is_path=True)] # ExtractModelResponseInputs response_partitions: Annotated[Dict[str, List[str]], StepTypeConfig(is_config=True)] diff --git a/patchwork/steps/ReadEmail/ReadEmail.py b/patchwork/steps/ReadEmail/ReadEmail.py new file mode 100644 index 000000000..d3b04b9b6 --- /dev/null +++ b/patchwork/steps/ReadEmail/ReadEmail.py @@ -0,0 +1,106 @@ +from __future__ import annotations + +import base64 +import os +import quopri +from datetime import datetime, timezone +from functools import partial +from pathlib import Path + +from eml_parser import EmlParser +from pydantic import BaseModel, Field + +from patchwork.step import Step +from patchwork.steps.ReadEmail.typed import ReadEmailInputs, ReadEmailOutputs + + +class InnerParsedHeader(BaseModel): + message_id: list[str] = Field(alias="message-id") + + +class ParsedHeader(BaseModel): + subject: str = "" + from_: str = Field(alias="from", default_factory=str) + to: list[str] = [] + date: datetime = Field(default_factory=partial(datetime.now, timezone.utc)) + header: InnerParsedHeader + + +class ParsedBody(BaseModel): + content: str = "" + content_type: str = "" + + +class AttachmentHeader(BaseModel): + content_disposition: list[str] = Field(alias="content-disposition", default_factory=list) + content_transfer_encoding: list[str] = Field(alias="content-transfer-encoding", default_factory=list) + content_type: list[str] = Field(alias="content-type", default_factory=list) + + +class ParsedAttachment(BaseModel): + filename: str = "" + raw: bytes = b"" + content_header: AttachmentHeader + + +class ParsedEmail(BaseModel): + header: ParsedHeader + body: list[ParsedBody] = [] + attachment: list[ParsedAttachment] = [] + + +class ReadEmail(Step, input_class=ReadEmailInputs, output_class=ReadEmailOutputs): + def __init__(self, inputs: dict): + super().__init__(inputs) + self.file = inputs["eml_file_path"] + self.base_path = inputs.get("base_path", os.getcwd()) + + def __decode(self, content_transfer_encoding: str, content: bytes) -> bytes: + if content_transfer_encoding.lower() == "base64": + return base64.b64decode(content) + elif content_transfer_encoding.lower() == "quoted‑printable": + return quopri.decodestring(content) + + return content + + def run(self) -> dict: + ep = EmlParser( + include_raw_body=True, + include_attachment_data=True, + ) + + email_data_dict = ep.decode_email(self.file) + email_data = ParsedEmail.model_validate(email_data_dict) + + rv = { + "subject": email_data.header.subject, + "datetime": email_data.header.date, + "from": email_data.header.from_, + "attachments": [], + "body": "", + } + + message_id = next(iter(email_data.header.header.message_id), None) + if message_id is not None: + rv["message_id"] = message_id + + base_path = Path(self.base_path) + base_path.mkdir(parents=True, exist_ok=True) + for attachment in email_data.attachment: + file_path = base_path / attachment.filename + with file_path.open("wb") as f: + content = attachment.raw + for content_transfer_encoding in attachment.content_header.content_transfer_encoding: + content = self.__decode(content_transfer_encoding, content) + f.write(content) + rv["attachments"].append( + dict( + path=str(file_path), + # content=content.decode(), + ) + ) + + for body in email_data.body: + rv["body"] += body.content + + return rv diff --git a/patchwork/steps/ReadEmail/__init__.py b/patchwork/steps/ReadEmail/__init__.py new file mode 100644 index 000000000..e69de29bb diff --git a/patchwork/steps/ReadEmail/typed.py b/patchwork/steps/ReadEmail/typed.py new file mode 100644 index 000000000..daa211f88 --- /dev/null +++ b/patchwork/steps/ReadEmail/typed.py @@ -0,0 +1,25 @@ +from typing_extensions import Annotated, List, TypedDict + +from patchwork.common.utils.step_typing import StepTypeConfig + + +class __ReadEmailRequiredInputs(TypedDict): + eml_file_path: Annotated[str, StepTypeConfig(is_path=True)] + + +class ReadEmailInputs(__ReadEmailRequiredInputs, total=False): + base_path: Annotated[str, StepTypeConfig(is_path=True)] + + +class Attachment(TypedDict): + path: str + content: str + + +class ReadEmailOutputs(TypedDict): + subject: str + datetime: str + from_: str # this is actually from instead of from_ + body: str + message_id: str + attachments: List[Attachment] diff --git a/patchwork/steps/SendEmail/SendEmail.py b/patchwork/steps/SendEmail/SendEmail.py index bba3bea0d..38e34ea61 100644 --- a/patchwork/steps/SendEmail/SendEmail.py +++ b/patchwork/steps/SendEmail/SendEmail.py @@ -16,19 +16,28 @@ def __init__(self, inputs): self.body = inputs.get("body", "Patchwork Execution Email") self.sender_email = inputs["sender_email"] self.recipient_email = inputs["recipient_email"] - self.password = inputs["sender_email_password"] self.smtp_host = inputs.get("smtp_host", "smtp.gmail.com") - self.smtp_port = int(inputs.get("smtp_port", 465)) + self.smtp_username = inputs["smtp_username"] + self.smtp_password = inputs["smtp_password"] + self.smtp_port = int(inputs.get("smtp_port", 25)) + self.reply_message_id = inputs.get("reply_message_id") + self.is_ssl = bool(inputs.get("is_smtp_ssl", False)) def run(self) -> dict: msg = MIMEText(mustache_render(self.body, self.email_template_value)) msg["Subject"] = mustache_render(self.subject, self.email_template_value) msg["From"] = self.sender_email msg["To"] = self.recipient_email + if self.reply_message_id is not None: + msg.add_header("Reference", self.reply_message_id) + msg.add_header("In-Reply-To", self.reply_message_id) - # TODO: support smtp without ssl - with smtplib.SMTP_SSL(self.smtp_host, self.smtp_port) as smtp_server: - smtp_server.login(self.sender_email, self.password) - smtp_server.sendmail(self.sender_email, self.recipient_email, msg.as_string()) + smtp_clazz = smtplib.SMTP + if self.is_ssl: + smtp_clazz = smtplib.SMTP_SSL + + with smtp_clazz(host=self.smtp_host, port=self.smtp_port) as mailserver: + mailserver.login(self.smtp_username, self.smtp_password) + mailserver.sendmail(self.sender_email, self.recipient_email, msg.as_string()) return dict() diff --git a/patchwork/steps/SendEmail/typed.py b/patchwork/steps/SendEmail/typed.py index b1e0a3587..a08f8e2ea 100644 --- a/patchwork/steps/SendEmail/typed.py +++ b/patchwork/steps/SendEmail/typed.py @@ -1,12 +1,11 @@ -from typing_extensions import Annotated, Any, Dict, TypedDict - -from patchwork.common.utils.step_typing import StepTypeConfig +from typing_extensions import Any, TypedDict class __SendEmailRequiredInputs(TypedDict): sender_email: str recipient_email: str - sender_email_password: str + smtp_username: str + smtp_password: str class SendEmailInputs(__SendEmailRequiredInputs, total=False): @@ -15,6 +14,8 @@ class SendEmailInputs(__SendEmailRequiredInputs, total=False): body: str smtp_host: str smtp_port: int + reply_message_id: str + is_smtp_ssl: str class SendEmailOutputs(TypedDict): diff --git a/patchwork/steps/SimplifiedLLM/SimplifiedLLM.py b/patchwork/steps/SimplifiedLLM/SimplifiedLLM.py index 167416a80..401079294 100644 --- a/patchwork/steps/SimplifiedLLM/SimplifiedLLM.py +++ b/patchwork/steps/SimplifiedLLM/SimplifiedLLM.py @@ -12,10 +12,13 @@ ExtractModelResponse, ) from patchwork.steps.PreparePrompt.PreparePrompt import PreparePrompt -from patchwork.steps.SimplifiedLLM.typed import SimplifiedLLMInputs +from patchwork.steps.SimplifiedLLM.typed import ( + SimplifiedLLMInputs, + SimplifiedLLMOutputs, +) -class SimplifiedLLM(Step): +class SimplifiedLLM(Step, input_class=SimplifiedLLMInputs, output_class=SimplifiedLLMOutputs): # Models that don't support native JSON mode JSON_MODE_UNSUPPORTED_MODELS = { "gemini-2.0-flash-thinking-exp", @@ -24,9 +27,6 @@ class SimplifiedLLM(Step): def __init__(self, inputs): super().__init__(inputs) - missing_keys = SimplifiedLLMInputs.__required_keys__.difference(set(inputs.keys())) - if len(missing_keys) > 0: - raise ValueError(f'Missing required data: "{missing_keys}"') self.user = inputs["prompt_user"] self.system = inputs.get("prompt_system") @@ -150,6 +150,7 @@ def run(self) -> dict: "google_api_key", "anthropic_api_key", "max_llm_calls", + "file", *model_keys, ] if self.inputs.get(key) is not None diff --git a/patchwork/steps/SimplifiedLLM/typed.py b/patchwork/steps/SimplifiedLLM/typed.py index bd4618dd4..b9b1835ca 100644 --- a/patchwork/steps/SimplifiedLLM/typed.py +++ b/patchwork/steps/SimplifiedLLM/typed.py @@ -40,6 +40,7 @@ class SimplifiedLLMInputs(__SimplifiedLLMInputsRequired, total=False): ] json: Annotated[bool, StepTypeConfig(is_config=True)] json_example_schema: Annotated[str, StepTypeConfig(is_config=True)] + file: Annotated[str, StepTypeConfig(is_path=True)] # ExtractModelResponseInputs response_partitions: Annotated[Dict[str, List[str]], StepTypeConfig(is_config=True)] diff --git a/patchwork/steps/SimplifiedLLMOnce/typed.py b/patchwork/steps/SimplifiedLLMOnce/typed.py index aced88381..631b2cd60 100644 --- a/patchwork/steps/SimplifiedLLMOnce/typed.py +++ b/patchwork/steps/SimplifiedLLMOnce/typed.py @@ -38,6 +38,7 @@ class SimplifiedLLMOnceInputs(__SimplifiedLLMOncePBInputsRequired, total=False): google_api_key: Annotated[ str, StepTypeConfig(is_config=True, or_op=["patched_api_key", "openai_api_key", "anthropic_api_key"]) ] + file: Annotated[str, StepTypeConfig(is_path=True)] class SimplifiedLLMOnceOutputs(TypedDict): diff --git a/patchwork/steps/__init__.py b/patchwork/steps/__init__.py index d2a405251..862dc94b1 100644 --- a/patchwork/steps/__init__.py +++ b/patchwork/steps/__init__.py @@ -40,6 +40,7 @@ from patchwork.steps.PreparePR.PreparePR import PreparePR from patchwork.steps.PreparePrompt.PreparePrompt import PreparePrompt from patchwork.steps.QueryEmbeddings.QueryEmbeddings import QueryEmbeddings +from patchwork.steps.ReadEmail.ReadEmail import ReadEmail from patchwork.steps.ReadFile.ReadFile import ReadFile from patchwork.steps.ReadIssues.ReadIssues import ReadIssues from patchwork.steps.ReadPRDiffs.ReadPRDiffs import ReadPRDiffs @@ -92,6 +93,7 @@ "PreparePrompt", "PRPB", "QueryEmbeddings", + "ReadEmail", "ReadFile", "ReadIssues", "ReadPRDiffs", diff 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[package.dependencies] @@ -6103,18 +6009,18 @@ telegram = ["requests"] [[package]] name = "transformers" -version = "4.48.2" +version = "4.49.0" description = "State-of-the-art Machine Learning for JAX, PyTorch and TensorFlow" optional = true python-versions = ">=3.9.0" files = [ - {file = "transformers-4.48.2-py3-none-any.whl", hash = "sha256:493bc5b0268b116eff305edf6656367fc89cf570e7a9d5891369e04751db698a"}, - {file = "transformers-4.48.2.tar.gz", hash = "sha256:dcfb73473e61f22fb3366fe2471ed2e42779ecdd49527a1bdf1937574855d516"}, + {file = "transformers-4.49.0-py3-none-any.whl", hash = "sha256:6b4fded1c5fee04d384b1014495b4235a2b53c87503d7d592423c06128cbbe03"}, + {file = "transformers-4.49.0.tar.gz", hash = "sha256:7e40e640b5b8dc3f48743f5f5adbdce3660c82baafbd3afdfc04143cdbd2089e"}, ] [package.dependencies] filelock = "*" -huggingface-hub = ">=0.24.0,<1.0" +huggingface-hub = ">=0.26.0,<1.0" numpy = ">=1.17" packaging = ">=20.0" pyyaml = ">=5.1" @@ -6127,13 +6033,13 @@ tqdm = ">=4.27" 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"keras-nlp (>=0.3.1,<0.14.0)", "librosa", "onnxconverter-common", "optax (>=0.0.8,<=0.1.4)", "optuna", "phonemizer", "protobuf", "pyctcdecode (>=0.4.0)", "ray[tune] (>=2.7.0)", "scipy (<1.13.0)", "sentencepiece (>=0.1.91,!=0.1.92)", "sigopt", "tensorflow (>2.9,<2.16)", "tensorflow-text (<2.16)", "tf2onnx", "timm (<=1.0.11)", "tokenizers (>=0.21,<0.22)", "torch (>=2.0)", "torchaudio", "torchvision"] audio = ["kenlm", "librosa", "phonemizer", "pyctcdecode (>=0.4.0)"] benchmark = ["optimum-benchmark (>=0.3.0)"] codecarbon = ["codecarbon (>=2.8.1)"] deepspeed = ["accelerate (>=0.26.0)", "deepspeed (>=0.9.3)"] deepspeed-testing = ["GitPython (<3.1.19)", "accelerate (>=0.26.0)", "beautifulsoup4", "cookiecutter (==1.7.3)", "datasets (!=2.5.0)", "deepspeed (>=0.9.3)", "dill (<0.3.5)", "evaluate (>=0.2.0)", "faiss-cpu", "nltk (<=3.8.1)", "optuna", "parameterized", "protobuf", "psutil", "pydantic", "pytest (>=7.2.0,<8.0.0)", "pytest-asyncio", "pytest-rich", "pytest-timeout", "pytest-xdist", "rjieba", "rouge-score (!=0.0.7,!=0.0.8,!=0.1,!=0.1.1)", "ruff (==0.5.1)", "sacrebleu (>=1.4.12,<2.0.0)", "sacremoses", "sentencepiece (>=0.1.91,!=0.1.92)", "tensorboard", "timeout-decorator"] -dev = ["GitPython (<3.1.19)", "Pillow (>=10.0.1,<=15.0)", "accelerate (>=0.26.0)", "av (==9.2.0)", "beautifulsoup4", "codecarbon (>=2.8.1)", "cookiecutter (==1.7.3)", "datasets (!=2.5.0)", "dill (<0.3.5)", "evaluate (>=0.2.0)", "faiss-cpu", "flax (>=0.4.1,<=0.7.0)", "fugashi (>=1.0)", "ipadic (>=1.0.0,<2.0)", "isort (>=5.5.4)", "jax (>=0.4.1,<=0.4.13)", "jaxlib (>=0.4.1,<=0.4.13)", "kenlm", "keras-nlp (>=0.3.1,<0.14.0)", "libcst", "librosa", "nltk (<=3.8.1)", "onnxconverter-common", "optax (>=0.0.8,<=0.1.4)", "optuna", "parameterized", "phonemizer", "protobuf", "psutil", "pyctcdecode (>=0.4.0)", "pydantic", "pytest (>=7.2.0,<8.0.0)", "pytest-asyncio", "pytest-rich", "pytest-timeout", "pytest-xdist", "ray[tune] (>=2.7.0)", "rhoknp (>=1.1.0,<1.3.1)", "rich", "rjieba", "rouge-score (!=0.0.7,!=0.0.8,!=0.1,!=0.1.1)", "ruff (==0.5.1)", "sacrebleu (>=1.4.12,<2.0.0)", "sacremoses", "scikit-learn", "scipy (<1.13.0)", "sentencepiece (>=0.1.91,!=0.1.92)", "sigopt", "sudachidict-core (>=20220729)", "sudachipy (>=0.6.6)", "tensorboard", "tensorflow (>2.9,<2.16)", "tensorflow-text (<2.16)", "tf2onnx", "timeout-decorator", "timm (<=1.0.11)", "tokenizers (>=0.21,<0.22)", "torch (>=2.0)", "torchaudio", "torchvision", "unidic (>=1.0.2)", "unidic-lite (>=1.0.7)", "urllib3 (<2.0.0)"] +dev = ["GitPython (<3.1.19)", "Pillow (>=10.0.1,<=15.0)", "accelerate (>=0.26.0)", "av", "beautifulsoup4", "codecarbon (>=2.8.1)", "cookiecutter (==1.7.3)", "datasets (!=2.5.0)", "dill (<0.3.5)", "evaluate (>=0.2.0)", "faiss-cpu", "flax (>=0.4.1,<=0.7.0)", "fugashi (>=1.0)", "ipadic (>=1.0.0,<2.0)", "isort (>=5.5.4)", "jax (>=0.4.1,<=0.4.13)", "jaxlib (>=0.4.1,<=0.4.13)", "kenlm", "keras-nlp (>=0.3.1,<0.14.0)", "libcst", "librosa", "nltk (<=3.8.1)", "onnxconverter-common", "optax (>=0.0.8,<=0.1.4)", "optuna", "parameterized", "phonemizer", "protobuf", "psutil", "pyctcdecode (>=0.4.0)", "pydantic", "pytest (>=7.2.0,<8.0.0)", "pytest-asyncio", "pytest-rich", "pytest-timeout", "pytest-xdist", "ray[tune] (>=2.7.0)", "rhoknp (>=1.1.0,<1.3.1)", "rich", "rjieba", "rouge-score (!=0.0.7,!=0.0.8,!=0.1,!=0.1.1)", "ruff (==0.5.1)", "sacrebleu (>=1.4.12,<2.0.0)", "sacremoses", "scikit-learn", "scipy (<1.13.0)", "sentencepiece (>=0.1.91,!=0.1.92)", "sigopt", "sudachidict-core (>=20220729)", "sudachipy (>=0.6.6)", "tensorboard", "tensorflow (>2.9,<2.16)", "tensorflow-text (<2.16)", "tf2onnx", "timeout-decorator", "timm (<=1.0.11)", "tokenizers (>=0.21,<0.22)", "torch (>=2.0)", "torchaudio", "torchvision", "unidic (>=1.0.2)", "unidic-lite (>=1.0.7)", "urllib3 (<2.0.0)"] dev-tensorflow = ["GitPython (<3.1.19)", "Pillow (>=10.0.1,<=15.0)", "beautifulsoup4", "cookiecutter (==1.7.3)", "datasets (!=2.5.0)", "dill (<0.3.5)", "evaluate (>=0.2.0)", "faiss-cpu", "isort (>=5.5.4)", "kenlm", "keras-nlp (>=0.3.1,<0.14.0)", "libcst", "librosa", "nltk (<=3.8.1)", "onnxconverter-common", "onnxruntime (>=1.4.0)", "onnxruntime-tools (>=1.4.2)", "parameterized", "phonemizer", "protobuf", "psutil", "pyctcdecode (>=0.4.0)", "pydantic", "pytest (>=7.2.0,<8.0.0)", "pytest-asyncio", "pytest-rich", "pytest-timeout", "pytest-xdist", "rich", "rjieba", "rouge-score (!=0.0.7,!=0.0.8,!=0.1,!=0.1.1)", "ruff (==0.5.1)", "sacrebleu (>=1.4.12,<2.0.0)", "sacremoses", "scikit-learn", "sentencepiece (>=0.1.91,!=0.1.92)", "tensorboard", "tensorflow (>2.9,<2.16)", "tensorflow-text (<2.16)", "tf2onnx", "timeout-decorator", "tokenizers (>=0.21,<0.22)", "urllib3 (<2.0.0)"] dev-torch = ["GitPython (<3.1.19)", "Pillow (>=10.0.1,<=15.0)", "accelerate (>=0.26.0)", "beautifulsoup4", "codecarbon (>=2.8.1)", "cookiecutter (==1.7.3)", "datasets (!=2.5.0)", "dill (<0.3.5)", "evaluate (>=0.2.0)", "faiss-cpu", "fugashi (>=1.0)", "ipadic (>=1.0.0,<2.0)", "isort (>=5.5.4)", "kenlm", "libcst", "librosa", "nltk (<=3.8.1)", "onnxruntime (>=1.4.0)", "onnxruntime-tools (>=1.4.2)", "optuna", "parameterized", "phonemizer", "protobuf", "psutil", "pyctcdecode (>=0.4.0)", "pydantic", "pytest (>=7.2.0,<8.0.0)", "pytest-asyncio", "pytest-rich", "pytest-timeout", "pytest-xdist", "ray[tune] (>=2.7.0)", "rhoknp (>=1.1.0,<1.3.1)", "rich", "rjieba", "rouge-score (!=0.0.7,!=0.0.8,!=0.1,!=0.1.1)", "ruff (==0.5.1)", "sacrebleu (>=1.4.12,<2.0.0)", "sacremoses", "scikit-learn", "sentencepiece (>=0.1.91,!=0.1.92)", "sigopt", "sudachidict-core (>=20220729)", "sudachipy (>=0.6.6)", "tensorboard", "timeout-decorator", "timm (<=1.0.11)", "tokenizers (>=0.21,<0.22)", "torch (>=2.0)", "torchaudio", "torchvision", "unidic (>=1.0.2)", "unidic-lite (>=1.0.7)", "urllib3 (<2.0.0)"] flax = ["flax (>=0.4.1,<=0.7.0)", "jax (>=0.4.1,<=0.4.13)", "jaxlib (>=0.4.1,<=0.4.13)", "optax (>=0.0.8,<=0.1.4)", "scipy (<1.13.0)"] @@ -6166,8 +6072,8 @@ tokenizers = ["tokenizers (>=0.21,<0.22)"] torch = ["accelerate (>=0.26.0)", "torch (>=2.0)"] torch-speech = ["kenlm", "librosa", "phonemizer", "pyctcdecode (>=0.4.0)", "torchaudio"] torch-vision = ["Pillow (>=10.0.1,<=15.0)", "torchvision"] -torchhub = ["filelock", "huggingface-hub (>=0.24.0,<1.0)", "importlib-metadata", "numpy (>=1.17)", "packaging (>=20.0)", "protobuf", "regex (!=2019.12.17)", "requests", "sentencepiece (>=0.1.91,!=0.1.92)", "tokenizers (>=0.21,<0.22)", "torch (>=2.0)", "tqdm (>=4.27)"] -video = ["av (==9.2.0)"] +torchhub = ["filelock", "huggingface-hub (>=0.26.0,<1.0)", "importlib-metadata", "numpy (>=1.17)", "packaging (>=20.0)", "protobuf", "regex (!=2019.12.17)", "requests", "sentencepiece (>=0.1.91,!=0.1.92)", "tokenizers (>=0.21,<0.22)", "torch (>=2.0)", "tqdm (>=4.27)"] +video = ["av"] vision = ["Pillow (>=10.0.1,<=15.0)"] [[package]] @@ -6387,17 +6293,6 @@ files = [ {file = "tzdata-2025.1.tar.gz", hash = "sha256:24894909e88cdb28bd1636c6887801df64cb485bd593f2fd83ef29075a81d694"}, ] -[[package]] -name = "uritemplate" -version = "4.1.1" -description = "Implementation of RFC 6570 URI Templates" -optional = false -python-versions = ">=3.6" -files = [ - {file = "uritemplate-4.1.1-py2.py3-none-any.whl", hash = "sha256:830c08b8d99bdd312ea4ead05994a38e8936266f84b9a7878232db50b044e02e"}, - {file = "uritemplate-4.1.1.tar.gz", hash = "sha256:4346edfc5c3b79f694bccd6d6099a322bbeb628dbf2cd86eea55a456ce5124f0"}, -] - [[package]] name = "urllib3" version = "2.3.0" @@ -6494,13 +6389,13 @@ test = ["aiohttp (>=3.10.5)", "flake8 (>=5.0,<6.0)", "mypy (>=0.800)", "psutil", [[package]] name = "virtualenv" -version = "20.29.1" +version = "20.29.2" description = "Virtual Python Environment builder" optional = false python-versions = ">=3.8" files = [ - {file = "virtualenv-20.29.1-py3-none-any.whl", hash = "sha256:4e4cb403c0b0da39e13b46b1b2476e505cb0046b25f242bee80f62bf990b2779"}, - {file = "virtualenv-20.29.1.tar.gz", hash = "sha256:b8b8970138d32fb606192cb97f6cd4bb644fa486be9308fb9b63f81091b5dc35"}, + {file = "virtualenv-20.29.2-py3-none-any.whl", hash = "sha256:febddfc3d1ea571bdb1dc0f98d7b45d24def7428214d4fb73cc486c9568cce6a"}, + {file = "virtualenv-20.29.2.tar.gz", hash = "sha256:fdaabebf6d03b5ba83ae0a02cfe96f48a716f4fae556461d180825866f75b728"}, ] [package.dependencies] @@ -6640,7 +6535,7 @@ test = ["websockets"] name = "websockets" version = "14.2" description = "An implementation of the WebSocket Protocol (RFC 6455 & 7692)" -optional = true +optional = false python-versions = ">=3.9" files = [ {file = "websockets-14.2-cp310-cp310-macosx_10_9_universal2.whl", hash = "sha256:e8179f95323b9ab1c11723e5d91a89403903f7b001828161b480a7810b334885"}, @@ -7174,4 +7069,4 @@ security = ["owasp-depscan", "semgrep"] [metadata] lock-version = "2.0" python-versions = "^3.9" -content-hash = "5916c662b332b6965befab7f6b97ce7f8f31c09e90333e18b0591be7f9f7add3" +content-hash = "90e967442eec961b3c24810ec9da028d4c667624a2d3d16f6e496cfb85f15f02" diff --git a/pyproject.toml b/pyproject.toml index 40ca5a569..02d0823ba 100644 --- a/pyproject.toml +++ b/pyproject.toml @@ -1,6 +1,6 @@ [tool.poetry] name = "patchwork-cli" -version = "0.0.98" +version = "0.0.99" description = "" authors = ["patched.codes"] license = "AGPL" @@ -28,7 +28,7 @@ typing-extensions = "^4.11.0" click = "~8.1.0" openai = "^1.46.1" tree-sitter-languages = "~1.10.2" -python-gitlab = "^4.4.0" +python-gitlab = "^4.13.0" pygithub = "~2.1.1" azure-devops = "~7.1.0b4" gitpython = "~3.1.40" @@ -39,14 +39,16 @@ patched-code2prompt = "~0.9.0.dev1" pyyaml = "^6.0.1" packageurl-python = "~0.15.0" semver = "~3.0.2" -requests = "~2.31.0" +requests = "~2.32.3" chardet = "~5.2.0" attrs = "~23.2.0" -google-generativeai = "~0.8.1" -anthropic = "~0.40.0" +google-genai = "^1.2.0" +anthropic = "^0.40.0" rich = "~13.7.1" chevron = "~0.14.0" giturlparse = "~0.12.0" +eml_parser = "^2.0.0" +python-magic = "^0.4.27" scikit-learn = "^1.3.2" json-repair = "~0.30.0" # pinning transitive dependencies diff --git a/tests/steps/test_CreateIssue.py b/tests/steps/test_CreateIssue.py index eeff446b7..9ba224c35 100644 --- a/tests/steps/test_CreateIssue.py +++ b/tests/steps/test_CreateIssue.py @@ -7,7 +7,6 @@ "inputs", [ {"issue_title": "my issue", "issue_text": "my issue text", "scm_url": "https://github.com/my/repo"}, - {"issue_title": "my issue", "issue_text": "my issue text", "github_api_key": "my api key"}, {"issue_title": "my issue", "scm_url": "https://github.com/my/repo", "github_api_key": "my api key"}, {"issue_text": "my issue text", "scm_url": "https://github.com/my/repo", "github_api_key": "my api key"}, ],