improve lib readmes

Author: nicoloboschi

scripts/python_README.md

@@ -1,14 +1,9 @@
-from dataclasses import field
-
 # Vectorize Client
-Python Api Client for Vectorize
-For more information, please visit [https://vectorize.io](https://vectorize.io)
-
-## Requirements.
+Python Api Client for [Vectorize](https://vectorize.io).
+For the full documentation, please visit [docs.vectorize.io](https://docs.vectorize.io/api/api-getting-started).
 
-Python 3.8+
 
-## Installation & Usage
+## Installation
 ```sh
 pip install vectorize-client
 ```
@@ -20,8 +15,7 @@ import vectorize_client
 
 ## Getting Started
 
-Please follow the [installation procedure](#installation--usage) and then run the following:
-
+List all your pipelines:
 ```python
 import vectorize_client as v
 
@@ -34,62 +28,5 @@ with v.ApiClient(v.Configuration(access_token=TOKEN)) as api:
     print("Found" + str(len(response.data)) + " pipelines")
 ```
 
-## Documentation for API Endpoints
-
-All URIs are relative to *https://api.vectorize.io/v1*
-
-See the full [reference](https://vectorize.readme.io/reference) for more information.
-
-## Usage
-
-First, export your token and org id as environment variables:
-
-```sh
-export VECTORIZE_TOKEN=<your-token>
-export VECTORIZE_ORG=<your-org-id>
-```
-Then, initialize the client with your token and org id:
-
-```python
-import os
-TOKEN = os.environ['VECTORIZE_TOKEN']
-ORG = os.environ['VECTORIZE_ORG']
-```
-
-### Extraction
-
-Set the file you want to extract data from:
-
-```sh
-export FILE=<path-to-file>
-```
-
-Then, run the following code:
-```python
-import os
-import vectorize_client as v
-import time, logging
-
-TOKEN = os.environ['VECTORIZE_TOKEN']
-ORG = os.environ['VECTORIZE_ORG']
-FILE = os.environ['FILE']
-
-with v.ApiClient(v.Configuration(access_token=TOKEN)) as api:
-    with open(FILE, 'rb') as file:
-        data = file.read()
-        extraction_id = v.ExtractionApi(api).start_extraction(ORG, data).extraction_id
-        print(f"Extraction started with id {extraction_id}")
-        while True:
-            extraction = v.ExtractionApi(api).get_extraction_result(ORG, extraction_id)
-            if extraction.ready:
-                extracted_data = extraction.data
-                if extracted_data.success:
-                    print(extracted_data)
-                    break
-                else:
-                    raise Exception(extracted_data.error)
-            print("Waiting for extraction to complete...")
-            time.sleep(1)
-```
-
+Visit [docs.vectorize.io](https://docs.vectorize.io/api/api-getting-started) to learn more about the API.
 

scripts/ts_README.md

@@ -1,15 +1,15 @@
 # Vectorize Client
-Typescript Api Client for Vectorize
-For more information, please visit [https://vectorize.io](https://vectorize.io)
+Node Api Client for [Vectorize](https://vectorize.io).
+For the full documentation, please visit [docs.vectorize.io](https://docs.vectorize.io/api/api-getting-started).
 
-## Installation & Usage
+## Installation
 ```sh
 npm install @vectorize-io/vectorize-client
 ```
 
 ## Getting Started
 
-Please follow the [installation procedure](#installation--usage) and then run the following:
+List all your pipelines:
 
 ```typescript
 
@@ -23,8 +23,4 @@ const pipelines = connectorsApi.getPipelines({
 console.log(pipelines)
 ```
 
-## Documentation for API Endpoints
-
-All URIs are relative to *https://api.vectorize.io/v1*
-
-See the full [reference](https://vectorize.readme.io/reference) for more information.
+Visit [docs.vectorize.io](https://docs.vectorize.io/api/api-getting-started) to learn more about the API.