semvec/pypi-packages huggingface dataset:
flareio-cli 0.8.0
CLI interface for the flare.io API.
Requires Python: >=3.9
Keywords: flare, sdk, cli

# flareio-cli

`flareio-cli` is a beta CLI interface for the [flare.io API](https://api.docs.flare.io/).

The [full CLI documentation](https://api.docs.flare.io/sdk/cli) can be found on Flare's API documentation website.

## Changelog & Releases

You may find the [changelog and all available versions](https://github.com/Flared/flareio-cli/releases) on the Github releases page.

## Installing

`flareio-cli` is [available on PyPI](https://pypi.org/project/flareio-cli/).

Invoke it directly using [uv](https://docs.astral.sh/uv/) (recommended):
```bash
# Running the most recent version.
uvx flareio-cli --help

# Running a specific version. Recommended to ensure stability.
# Example: uvx flareio-cli@0.5.0 --help
uvx flareio-cli@version --help
```

Or install it:
```bash
# Using uv
uv tool install flareio-cli

# Using pip
pip install flareio-cli
```

## Usage Example

Export Tenant Feed to CSV file:
```
export FLARE_API_KEY="<api-key>"

uvx run flareio-cli export-tenant-feed \
    --output-file=output.csv \
    --from-date=2025-01-01
```

Learn more in the [full CLI documentation](https://api.docs.flare.io/sdk/cli).

## Contributing

We recommend the following dependencies:
- `make`
- `uv`
- `direnv`

The `Makefile` contains the following targets:
- `make test` will run tests
- `make check` will run typechecking
- `make format` format will format the code
- `make format-check` will run linting
- `make ci` will run CI equivalent

## Feedback

Do you have ideas or feature requests? Feel free to open issues.
acdc_aws_etl_pipeline 0.9.3
Tools for ACDC ETL pipeline
Requires Python: <4.0.0,>=3.9.5

# acdc-aws-etl-pipeline
Infrastructure and code for the ACDC ETL pipeline and data operations in AWS

## Documentation

### Core Configuration & Management
- [Deployment Configuration Guide](docs/config.md)
- [Dictionary Deployment](docs/dictionary_deployment.md)
- [Service Management](docs/service_management.md)
- [Kubernetes Utilities](docs/k8s_utilities.md)
- [Troubleshooting](docs/troubleshooting.md)

### Data Lifecycle & ETL
- [Data Ingestion](docs/data_ingestion.md)
- [Data Validation](docs/data_validation.md)
- [Data Transformation (dbt)](docs/data_transformation_dbt.md)
- [Data Releases](docs/write_data_release.md)
- [Data Deletion](docs/data_deletion.md)
- [Metadata Deletion by GUID](docs/metadata_deletion_by_guid.md)

### Metadata & Registry Operations
- [REST API Upload to Sheepdog](docs/rest_api_sheepdog_upload.md)
- [IndexD File Registration](docs/indexd_registration.md)
- [Synthetic Data Generation](docs/synthetic_data_generation.md)

### Analysis & Querying
- [Querying Athena](docs/querying_athena.md)
- [Writing Athena Queries to JSON](docs/write_athena_queries_to_json.md)

## Library and source code (`src/acdc_aws_etl_pipeline`)

The Python package in [`src/acdc_aws_etl_pipeline`](src/acdc_aws_etl_pipeline) provides reusable utilities for ingestion, validation, uploads, and Athena/Glue operations used across the pipeline and services.

### Modules

- **`ingest/`**: ingestion helpers for loading source datasets into S3/Glue (see [`ingest/ingest.py`](src/acdc_aws_etl_pipeline/ingest/ingest.py)).
- **`upload/`**: Gen3/Sheepdog metadata submission and deletion utilities (e.g. [`upload/metadata_submitter.py`](src/acdc_aws_etl_pipeline/upload/metadata_submitter.py)).
- **`validate/`**: schema validation utilities and helpers for validation workflows (see [`validate/validate.py`](src/acdc_aws_etl_pipeline/validate/validate.py)).
- **`utils/`**: shared Athena/Glue/dbt/release helpers (e.g. [`utils/athena_utils.py`](src/acdc_aws_etl_pipeline/utils/athena_utils.py), [`utils/release_writer.py`](src/acdc_aws_etl_pipeline/utils/release_writer.py)).

### Local development

To install dependencies and run tests:

```bash
pip install poetry
poetry install
source $(poetry env info --path)/bin/activate
poetry run pytest
```

### Install from PyPI

Releases are published automatically, so you can also install the package directly:

```bash
pip install acdc_aws_etl_pipeline
bizyui 1.2.98
Web resources for [a/BizyAir](https://github.com/siliconflow/BizyAir) which contains Comfy Nodes that can run in any environment.
Requires Python: >=3.10

# BizYair Frontend

# Getting Started

``` bash
git clone https://github.com/siliconflow/bizyair_frontend.git
cd bizyair_frontend 
# 安装依赖
npm install
# prettier 
npm run format 
# eslint 
npx eslint src
# release frontend 
npm run dev
#重新打包前端得到.whl包
npm run build:py
#不重新生成forntend_bizyair.js只重新打包bizyui目录得到.whl包
npm run build:bizyui
```


### Installation and Setup