semvec/pypi-packages huggingface dataset:
boto3-pydantic-transcribe 1.0.2
Pydantic models for AWS Transcribe
Requires Python: <4.0,>=3.9
Keywords: aws, boto3, pydantic, models, transcribe

# boto3-pydantic-transcribe

This package was automatically generated by aws-resource-validator repository.

For more information, visit:
- Package homepage: https://coreoxide.github.io/aws_resource_validator/
- GitHub repository: https://github.com/CoreOxide/aws_resource_validator
- PyPI project: https://pypi.org/project/aws-resource-validator/

Pydantic models for AWS Transcribe.
pysalesforceutils 1.0.14
Python module to wrap the Salesforce APIs

# PySalesforce
**************
The purpose of this project is to replicate the Salesforce REST APIs in a Python library.

## Usage
*******
The authentication method used in PySalesforce.Authentication.getOAuthLogin uses the Salesforce OAuth Password flow. You can choose to build and use your own authentication method, but if you want to use the OAuth flow, you'll need to create a connected app in Salesforce. YOu can do this from Setup->Create->Apps, then scroll down to the bottom and click the New button for Connected Apps. THE Callback URL is irrelavent, so you can put in anything you want. Make sure the Selected Scope OAuth Scopes = Full Access. After setting it up you'll receive a Consumer Key and Consumer Secret, which are the loginClientId and loginClientSecret parameters in the getOAuthLogin method respectively.

## Salesforce Documentation
***************
As I continue to update this library, I'll be adding reference links to the Salesforce documentation.
- [List of Salseforce APIs](https://developer.salesforce.com/page/Salesforce_APIs)
- [Tooling API](https://developer.salesforce.com/docs/atlas.en-us.api_tooling.meta/api_tooling/intro_rest_resources.htm)
- [Metadata API](https://developer.salesforce.com/page/An_Introduction_to_Force.com_Metadata)
- [Streaming API](https://developer.salesforce.com/page/Streaming_API)
- [REST API](https://developer.salesforce.com/docs/atlas.en-us.api_rest.meta/api_rest/intro_what_is_rest_api.htm)
- [Bulk API](https://developer.salesforce.com/docs/atlas.en-us.api_asynch.meta/api_asynch/asynch_api_intro.htm)
- [Bulk 2.0 API](https://developer.salesforce.com/docs/atlas.en-us.api_bulk_v2.meta/api_bulk_v2/introduction_bulk_api_2.htm)
- [Chatter REST API](https://developer.salesforce.com/page/Chatter_API)
- [Bulk API Trailhead Example](https://trailhead-salesforce-com.firelayers.net/en/api_basics/api_basics_bulk)

## Notes
*******
I had issues with OS X not being able to connect to any sandbox environments. The issue was related to my OpenSSL version not being up to date enough.

You can run this test to check if your machine is up to date with SSL. Make sure it can run TLS 1.1 or 1.2
---
import WebService
response = WebService.Tools.getHTResponse("https://www.howsmyssl.com/a/check", {})
print(response.text)
---
boto3-pydantic-tnb 1.0.2
Pydantic models for AWS Tnb
Requires Python: <4.0,>=3.9
Keywords: aws, boto3, pydantic, models, tnb

# boto3-pydantic-tnb

This package was automatically generated by aws-resource-validator repository.

For more information, visit:
- Package homepage: https://coreoxide.github.io/aws_resource_validator/
- GitHub repository: https://github.com/CoreOxide/aws_resource_validator
- PyPI project: https://pypi.org/project/aws-resource-validator/

Pydantic models for AWS Tnb.
wes-service 5.0
GA4GH Workflow Execution Service reference implementation
Requires Python: >=3.9

# Workflow as a Service

This is a client and server implementation of the [GA4GH Workflow
Execution Service](https://github.com/ga4gh/workflow-execution-schemas) 1.0.0 API.

It provides [Arvados](https://arvados.org/) and [Toil](http://toil.ucsc-cgl.org/) backends.  It
also works with any `cwl-runner` that supports the CWL standard command line
interface: <http://www.commonwl.org/v1.0/CommandLineTool.html#Executing_CWL_documents_as_scripts>

## Installation:

```
pip install wes-service
```

## Usage

### Client configuration

Command line parameter or environment variable.

`--host` or `WES_API_HOST`

The host to contact.

`--proto` or `WES_API_PROTO`

The protocol (http or https) to use.

`--auth` or `WES_API_AUTH`

Credentials.  Format is 'Header: value' or just 'value'.  If header name is not provided, value goes in the 'Authorization'.

### Get service info

```
$ wes-client --info
```

### Submit a workflow to run:

Attachments must be accessible from the filesystem.  Workflow runners may also support http URLs or other storage systems.

```
$ wes-client --host localhost:8080 --proto http                             \
   --attachments="testdata/dockstore-tool-md5sum.cwl,testdata/md5sum.input" \
   testdata/md5sum.cwl testdata/md5sum.cwl.json
```

### List workflows

```
$ wes-client --list
```

### Get workflow status

```
$ wes-client --get <run-id>
```

### Get stderr log from workflow:

```
$ wes-client --log <run-id>
```

## Server Configuration

### Run a standalone server with default `cwl-runner` backend:

```
$ wes-server
```

### Run a standalone server with Arvados backend:

```
$ pip install arvados-cwl-runner
$ wes-server --backend=wes_service.arvados_wes
```

### Run a standalone server with Toil backend:

```
$ pip install toil[all]
$ wes-server --backend=wes_service.toil_wes --opt extra=--clean=never
```

### Use alternate executable with cwl-runner backend

```
$ pip install cwltool
$ wes-server --backend=wes_service.cwl_runner --opt runner=cwltool --opt extra=--debug
```

### Pass parameters to cwl-runner

Use "--opt" following by "key=value"

```
$ wes-server --backend=wes_service.cwl_runner --opt extra=--workDir=/tmp/work
```

## Development
If you would like to develop against `workflow-service` make sure you pass the provided test and it is flake8 compliant

#### Install from Source

```
$ virtualenv venv && source venv/bin/activate && pip install toil[all] && pip install . --process-dependency-links && pip install -r dev-requirements.txt
```

#### Running Tests
From path `workflow-service` run

```
$ pytest && flake8
```
boto3-pydantic-timestream-write 1.0.2
Pydantic models for AWS Timestream_write
Requires Python: <4.0,>=3.9
Keywords: aws, boto3, pydantic, models, timestream_write

# boto3-pydantic-timestream_write

This package was automatically generated by aws-resource-validator repository.

For more information, visit:
- Package homepage: https://coreoxide.github.io/aws_resource_validator/
- GitHub repository: https://github.com/CoreOxide/aws_resource_validator
- PyPI project: https://pypi.org/project/aws-resource-validator/

Pydantic models for AWS Timestream_write.
boto3-pydantic-timestream-query 1.0.2
Pydantic models for AWS Timestream_query
Requires Python: <4.0,>=3.9
Keywords: aws, boto3, pydantic, models, timestream_query

# boto3-pydantic-timestream_query

This package was automatically generated by aws-resource-validator repository.

For more information, visit:
- Package homepage: https://coreoxide.github.io/aws_resource_validator/
- GitHub repository: https://github.com/CoreOxide/aws_resource_validator
- PyPI project: https://pypi.org/project/aws-resource-validator/

Pydantic models for AWS Timestream_query.
alasco 0.0.9
A SDK to facilitate the interaction with the Alasco API.
Requires Python: >=3.12

# Alasco

## Introduction  

This package is an SDK for `python` to facilitate interaction with the Alasco API.

The official documentation from [Alasco](https://www.alasco.com/) can be found [here](https://developer.alasco.de/).

## How to install it

Run the following command in your terminal:
```bash
pip install alasco
```

## Get started

Import the alasco module and then instantiate the client like this:
```python
from alasco import Alasco
from dotenv import load_dotenv, find_dotenv

_ = load_dotenv(find_dotenv(raise_error_if_not_found=True))

token = os.environ["token"] # your alasco token
key = os.environ["key"] # your alasco key

alasco = Alasco(token=token, key=key, verbose=True)
```

## Example 1 : fetch all DataFrames

```python
dfs = alasco.data_fetcher.get_all_df()
dfs["properties"].head(2)
```
**Output:**

|    | id                                   | type     | name                     | description   | address        |   zip_code | city         | country   | date_created                     | relationships.projects.links.related                                               |
|---:|:-------------------------------------|:---------|:-------------------------|:--------------|:---------------|-----------:|:-------------|:----------|:---------------------------------|:-----------------------------------------------------------------------------------|
|  0 | 97bad92e-0fd8-4987-9f8e-aafcd4eafcd7 | PROPERTY | Wohnpark Unteraching     |               | Am Sportpark 4 |      82008 | Unterhaching |           | 2022-09-19T12:15:55.539340+00:00 | https://api.alasco.de/v1/properties/97bad92e-0fd8-4987-9f8e-aafcd4eafcd7/projects/ |
|  1 | 6ee2f67d-6911-4085-a7b3-4dbc370f494f | PROPERTY | Grundstück Leopoldstraße |               | Leopoldstr. 21 |      80802 | München      |           | 2021-07-14T09:50:47.760738+00:00 | https://api.alasco.de/v1/properties/6ee2f67d-6911-4085-a7b3-4dbc370f494f/projects/ |


## Example 2 : Batch download documents

Download all documents (contracts, invoices, change orders) for a particular property locally.
This can be useful for backup purposes.

```python
property_name = "YOUR_PROPERTY_NAME"
dfs = alasco.data_fetcher.get_all_df(property_name = property_name)
alasco.document_downloader.batch_download_documents(dfs=dfs, property_name = property_name)
```
boto3-pydantic-timestream-influxdb 1.0.2
Pydantic models for AWS Timestream_influxdb
Requires Python: <4.0,>=3.9
Keywords: aws, boto3, pydantic, models, timestream_influxdb

# boto3-pydantic-timestream_influxdb

This package was automatically generated by aws-resource-validator repository.

For more information, visit:
- Package homepage: https://coreoxide.github.io/aws_resource_validator/
- GitHub repository: https://github.com/CoreOxide/aws_resource_validator
- PyPI project: https://pypi.org/project/aws-resource-validator/

Pydantic models for AWS Timestream_influxdb.
boto3-pydantic-textract 1.0.2
Pydantic models for AWS Textract
Requires Python: <4.0,>=3.9
Keywords: aws, boto3, pydantic, models, textract

# boto3-pydantic-textract

This package was automatically generated by aws-resource-validator repository.

For more information, visit:
- Package homepage: https://coreoxide.github.io/aws_resource_validator/
- GitHub repository: https://github.com/CoreOxide/aws_resource_validator
- PyPI project: https://pypi.org/project/aws-resource-validator/

Pydantic models for AWS Textract.
boto3-pydantic-taxsettings 1.0.2
Pydantic models for AWS Taxsettings
Requires Python: <4.0,>=3.9
Keywords: aws, boto3, pydantic, models, taxsettings

# boto3-pydantic-taxsettings

This package was automatically generated by aws-resource-validator repository.

For more information, visit:
- Package homepage: https://coreoxide.github.io/aws_resource_validator/
- GitHub repository: https://github.com/CoreOxide/aws_resource_validator
- PyPI project: https://pypi.org/project/aws-resource-validator/

Pydantic models for AWS Taxsettings.
tempmail-cli 2025.5.8
A command-line tool for managing temporary email accounts

# TempMail CLI

A command-line tool for managing temporary email accounts using the mail.tm API.

## Features

- Create and manage multiple temporary email accounts
- Monitor inbox for new messages
- Read, delete, and mark messages as read
- Interactive mode for easier email management
- Persistent storage of accounts

## Installation

```bash
pip install tempmail-cli
```

Or install from source:

```bash
git clone https://github.com/hasanfq6/tempmail-cli.git
cd tempmail-cli
pip install -e .
```

## Usage

### Basic Commands

```bash
# Create a new email account
tempmail create

# Create with custom alias
tempmail create --alias myemail

# List all accounts
tempmail list

# Switch to a specific account
tempmail use myemail

# Check inbox of current account
tempmail inbox

# Check inbox with full message content
tempmail inbox --full

# Read a specific message (can use partial ID)
tempmail read abc123

# Delete a specific message
tempmail delete-message abc123

# Monitor inbox for new messages
tempmail monitor

# Start interactive mode
tempmail interactive

# Show current account information
tempmail info
```

### Interactive Mode

Interactive mode provides a shell-like interface for managing emails:

```
> help
Available commands:
  list, ls       - List recent messages
  read <id>      - Read a message by ID
  delete <id>    - Delete a message by ID
  mark <id>      - Mark a message as read
  refresh, r     - Refresh message list
  monitor, m     - Monitor inbox for new messages
  info, i        - Show account information
  exit, quit, q  - Exit interactive mode
```

## Configuration

All account data is stored in `~/.tempmail/` directory:
- `accounts.json`: Stores all account information
- `current_account.json`: Stores the currently selected account

## License

MIT
perian-cli 0.3.6
PERIAN Sky Platform CLI
Requires Python: <4.0,>=3.10
Keywords: perian, sky, sky-computing, sky-platform, cli

# PERIAN Sky Platform CLI

### Getting Started
To get started on our platform, follow [our guide](https://storage.googleapis.com/perian-public-files/Perian_Sky_Platform_Getting_Started.pdf) that will walk you through all the necessary setup and features.
boto3-pydantic-synthetics 1.0.2
Pydantic models for AWS Synthetics
Requires Python: <4.0,>=3.9
Keywords: aws, boto3, pydantic, models, synthetics

# boto3-pydantic-synthetics

This package was automatically generated by aws-resource-validator repository.

For more information, visit:
- Package homepage: https://coreoxide.github.io/aws_resource_validator/
- GitHub repository: https://github.com/CoreOxide/aws_resource_validator
- PyPI project: https://pypi.org/project/aws-resource-validator/

Pydantic models for AWS Synthetics.
boto3-pydantic-swf 1.0.2
Pydantic models for AWS Swf
Requires Python: <4.0,>=3.9
Keywords: aws, boto3, pydantic, models, swf

# boto3-pydantic-swf

This package was automatically generated by aws-resource-validator repository.

For more information, visit:
- Package homepage: https://coreoxide.github.io/aws_resource_validator/
- GitHub repository: https://github.com/CoreOxide/aws_resource_validator
- PyPI project: https://pypi.org/project/aws-resource-validator/

Pydantic models for AWS Swf.