feat(integration-service): Add integrations service

[HamadaSalhab]

Important

Introduces a new integration service with FastAPI, Docker setup, and support for multiple integrations like DALL-E and Wikipedia.

• Integration Service:
  • Adds integrations-service with Docker setup in docker-compose.yml and Dockerfile.
  • FastAPI application in web.py with routers for execution and integration management.
• Models:
  • Defines models for DalleImageGenerator, DuckDuckGoSearch, HackerNews, Weather, and Wikipedia in models directory.
  • IntegrationExecutionRequest and IntegrationExecutionResponse for handling execution requests.
• Utilities:
  • Implements execute_integration in execute_integration.py to handle integration execution logic.
  • Integration utilities for DALL-E, DuckDuckGo, Hacker News, Weather, and Wikipedia in utils/integrations.
• Configuration:
  • Adds pyproject.toml for dependency management with Poetry.
  • Adds pytype.toml for type checking configuration.

^{This description was created by for 36d61e9. It will automatically update as commits are pushed.}

[ellipsis-dev]

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More details

• Looked at 955 lines of code in 32 files
• Skipped 1 files when reviewing.
• Skipped posting 8 drafted comments based on config settings.

1. integrations-service/Dockerfile:19

• Draft comment:
  Add a newline at the end of the file for POSIX compliance.
• Reason this comment was not posted:
  Confidence changes required: 10%
  The Dockerfile is missing a newline at the end of the file, which is a best practice for POSIX compliance.

2. integrations-service/docker-compose.yml:26

• Draft comment:
  Add a newline at the end of the file for POSIX compliance.
• Reason this comment was not posted:
  Confidence changes required: 10%
  The docker-compose.yml file for the integrations service is missing a newline at the end of the file, which is a best practice for POSIX compliance.

3. integrations-service/integrations/models/dalle_image_generator.py:5

• Draft comment:
  Remove the type from the Field function as it is inferred from the type annotation.

    api_key: str = Field(description="The API key for DALL-E")

• Reason this comment was not posted:
  Confidence changes required: 50%
  The Field function in Pydantic models should not have the type specified as the first argument, as it is inferred from the type annotation.

4. integrations-service/integrations/models/dalle_image_generator.py:9

• Draft comment:
  Remove the type from the Field function as it is inferred from the type annotation.

    prompt: str = Field(description="The image generation prompt")

• Reason this comment was not posted:
  Confidence changes required: 50%
  The Field function in Pydantic models should not have the type specified as the first argument, as it is inferred from the type annotation.

5. integrations-service/integrations/models/weather.py:6

• Draft comment:
  Remove the type from the Field function as it is inferred from the type annotation.

        ..., description="The location for which to fetch weather data"

• Reason this comment was not posted:
  Confidence changes required: 50%
  The Field function in Pydantic models should not have the type specified as the first argument, as it is inferred from the type annotation. This is applicable to other models as well.

6. integrations-service/integrations/models/weather.py:12

• Draft comment:
  Remove the type from the Field function as it is inferred from the type annotation.

        ..., description="The location for which to fetch weather data"

• Reason this comment was not posted:
  Confidence changes required: 50%
  The Field function in Pydantic models should not have the type specified as the first argument, as it is inferred from the type annotation. This is applicable to other models as well.

7. integrations-service/integrations/models/wikipedia.py:6

• Draft comment:
  Remove the type from the Field function as it is inferred from the type annotation.

    load_max_docs: int = Field(2, description="Maximum number of documents to load")

• Reason this comment was not posted:
  Confidence changes required: 50%
  The Field function in Pydantic models should not have the type specified as the first argument, as it is inferred from the type annotation. This is applicable to other models as well.

8. integrations-service/integrations/models/hacker_news.py:5

• Draft comment:
  Remove the type from the Field function as it is inferred from the type annotation.

    url: str = Field(..., description="The URL of the Hacker News thread to fetch")

• Reason this comment was not posted:
  Confidence changes required: 50%
  The Field function in Pydantic models should not have the type specified as the first argument, as it is inferred from the type annotation. This is applicable to other models as well.

Workflow ID: wflow_TCA6rSTWwBe9G9AO

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