@kapa.ai Give me the detailed steps to develop a python CDK Source connector. Do i need to write manifest.yaml, spec.yaml or json or metadata. Give me everything

Sure, here are the steps to develop a Python CDK Source connector using Airbyte: 1. Environment Setup: Start by cloning the Airbyte repository and changing your working directory to the new connector module. Create an initial python environment and install the dependencies required to run an API Source connector. You can verify the setup by running the unit tests and check operation. [source](https://docs.airbyte.com/connector-development/tutorials/custom-python-connector/environment-setup)

bash
git clone <https://github.com/airbytehq/airbyte.git>  
cd airbyte  
cd airbyte-integrations/connector-templates/generator  
./generate.sh  
cd ../../connectors/source-survey-monkey-demo  
poetry lock  
poetry install --with dev  
poetry run pytest unit_tests  
poetry run source-survey-monkey-demo check --config secrets/config.json

2. Generate the Template: Use the Airbyte provided code generator which bootstraps the scaffolding for your connector. Select the

Python CDK Source

and name it

python-http-example

. [source](https://docs.airbyte.com/connector-development/tutorials/cdk-speedrun)

bash
cd airbyte-integrations/connector-templates/generator  
./generate.sh

3. Create Dev Environment: Change your working directory to the new connector module and install the dependencies. [source](https://docs.airbyte.com/connector-development/tutorials/cdk-speedrun)

bash
cd ../../connectors/source-python-http-example  
poetry install

4. Define Connector Inputs: Define your input schema to reflect the API you're working with. Open the

spec.yaml

file and replace it with your schema. [source](https://docs.airbyte.com/connector-development/tutorials/cdk-speedrun) 5. Define your Stream: In your

source.py

file, add a class that represents an endpoint you want to hit. This stream should define your output schema for every endpoint that you want to implement. [source](https://docs.airbyte.com/connector-development/tutorials/cdk-speedrun#define-your-stream) 6. Implement the Source Class: The

Source

class implements the

Spec

operation by looking for a file named

spec.yaml

(or

spec.json

) in the module's root by default. This is expected to be a json schema file that specifies the required configuration. [source](https://docs.airbyte.com/connector-development/cdk-python/basic-concepts#the-source-class) 7. Connecting to the API: Over the course of this tutorial, you'll be editing a few files that were generated by the code generator:

manifest.yaml

,

configured_catalog.json

,

sample_state.json

. You'll also be creating the following files:

config.json

,

invalid_config.json

,

rates.json

. [source](https://docs.airbyte.com/connector-development/config-based/tutorial/connecting-to-the-API-source)

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@kapa.ai Awesome progress. But i am not going to use Api to fetch data from my Saas. I am going to use my Saas SDK.

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@kapa.ai Can you give me some code example of how to use a random Saas SDK and airbyte python cdk

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