Metadata-Version: 2.4
Name: flocky
Version: 0.0.1
Summary: (Unofficial) SDK for Flock.io
Home-page: https://github.com/CarloLepelaars/flocky
Author: Carlo Lepelaars
Author-email: info@carlolepelaars.nl
License: Apache Software License 2.0
Keywords: flockio llm
Classifier: Development Status :: 4 - Beta
Classifier: Intended Audience :: Developers
Classifier: Natural Language :: English
Classifier: Programming Language :: Python :: 3.10
Classifier: Programming Language :: Python :: 3.11
Classifier: Programming Language :: Python :: 3.12
Classifier: License :: OSI Approved :: Apache Software License
Requires-Python: >=3.10
Description-Content-Type: text/markdown
License-File: LICENSE
Requires-Dist: fastcore
Requires-Dist: fastprogress
Requires-Dist: python-fasthtml
Requires-Dist: python-dotenv
Requires-Dist: pandas
Requires-Dist: huggingface-hub
Requires-Dist: torch<2.7,>=1.10
Provides-Extra: dev
Dynamic: author
Dynamic: author-email
Dynamic: classifier
Dynamic: description
Dynamic: description-content-type
Dynamic: home-page
Dynamic: keywords
Dynamic: license
Dynamic: license-file
Dynamic: provides-extra
Dynamic: requires-dist
Dynamic: requires-python
Dynamic: summary

# flocky


<!-- WARNING: THIS FILE WAS AUTOGENERATED! DO NOT EDIT! -->

`flocky` makes participating in [Flock.io](https://www.flock.io) easy!

**NOTE:** This project is not officially affiliated with Flock.io. This
package is maintained by a participant of the Flock.io community. While
I strive for correctness, I cannot guarantee that this package is
bug-free. Always verify your own implementation, especially when using
`flocky` in production.

## Installation

    pip install flocky

## Quickstart

### Get specific task

Data can be retrieved as JSON or a Pandas DataFrame.

``` python
from flocky.api import get_task

get_task(7, as_df=False)
```

    {'title': 'FLock x OneKey: Advancing AI-Driven Smart Contract Security',
     'description': 'FLock and OneKey are collaborating to launch the first AI-driven smart contract security challenge, combining FLock’s decentralized model training with OneKey’s expertise in blockchain security. By training AI on real-world vulnerabilities and security Q&A data, we aim to build a benchmark dataset and develop models capable of detecting and mitigating risks at scale. Top contributors will be rewarded with OneKey Hardware Wallet - FLock Limited Edition',
     'task_type': 'training',
     'data': {'training_set_url': 'https://fed-ledger-prod-dataset.s3.amazonaws.com/7/training_set.jsonl?X-Amz-Algorithm=AWS4-HMAC-SHA256&X-Amz-Credential=AKIASSFQ745NLT5K57N2%2F20250401%2Fus-east-2%2Fs3%2Faws4_request&X-Amz-Date=20250401T153446Z&X-Amz-Expires=3600&X-Amz-SignedHeaders=host&X-Amz-Signature=fc9d7016681513e23a87fe9c30e5e7139ee53b76e3a8ef78a3cd02248d75494c',
      'max_params': 15000000000,
      'context_length': 8192},
     'duration_in_seconds': 2419200,
     'id': 7,
     'status': 'submission_phase',
     'initialized_at': '2025-03-26T16:22:01.791348',
     'submission_phase_ends_at': '2025-04-23T23:59:59.791348',
     'final_validation_ends_at': '2025-04-28T23:59:59.791348',
     'final_link': None}

``` python
get_task(7, as_df=True)
```

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|  | title | description | task_type | duration_in_seconds | id | status | initialized_at | submission_phase_ends_at | final_validation_ends_at | final_link | data_training_set_url | data_max_params | data_context_length |
|----|----|----|----|----|----|----|----|----|----|----|----|----|----|
| 0 | FLock x OneKey: Advancing AI-Driven Smart Cont... | FLock and OneKey are collaborating to launch t... | training | 2419200 | 7 | submission_phase | 2025-03-26T16:22:01.791348 | 2025-04-23T23:59:59.791348 | 2025-04-28T23:59:59.791348 | None | https://fed-ledger-prod-dataset.s3.amazonaws.c... | 15000000000 | 8192 |

</div>

### Get open tasks

``` python
from flocky.api import open_tasks

tasks = open_tasks(as_df=True)
tasks
```

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|  | title | description | task_type | duration_in_seconds | id | status | initialized_at | submission_phase_ends_at | final_validation_ends_at | data_recommended_vram | data_dataset_s3_key | data_max_params | data_context_length | data_training_set_key | data_validation_set_key | data_final_validation_set_key |
|----|----|----|----|----|----|----|----|----|----|----|----|----|----|----|----|----|
| 0 | FLock x OneKey: Advancing AI-Driven Smart Cont... | FLock and OneKey are collaborating to launch t... | training | 2419200 | 7 | submission_phase | 2025-03-26T16:22:01.791348 | 2025-04-23T23:59:59.791348 | 2025-04-28T23:59:59.791348 | 48GB | onekey-security/combined.jsonl | 15000000000 | 8192 | 7/training_set.jsonl | 7/validation_set.jsonl | 7/final_validation_set.jsonl |

</div>

### Get submission scores

``` python
from flocky.api import get_subs

scores = get_subs(7, as_df=True)
scores
```

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|  | link | submission_phase_score | final_validation_score | submitted_at |
|----|----|----|----|----|
| 0 | https://huggingface.co/clepelaars/task-7-Qwen-... | None | None | 2025-03-28T12:45:21.402671 |

</div>

## Upload to HuggingFace

This function will upload the contents of the `outputs` directory to the
HuggingFace Hub with a given repo name. This require you to have set
`HF_TOKEN` in your environment variables.

``` python
from flocky.api import upload_to_hf
# upload_to_hf("clepelaars/flocky-test", output_dir="outputs")
```
