Skip to main content

A Python SDK for interacting with the Datura API service.

Project description

Datura

Datura API in Python

https://console.datura.ai/

Installation

pip install datura-py

Usage

Import the package and initialize the Datura client with your API key:

    from datura_py import Datura

    datura = Datura(api_key="your-api-key")

Common requests

    
    # Desearch AI Search
    result = datura.ai_search(
        prompt="Bittensor",
        tools=[
            "web",
            "hackernews",
            "reddit",
            "wikipedia",
            "youtube",
            "twitter",
            "arxiv"
        ],
        model="NOVA",
        date_filter="PAST_24_HOURS",
        streaming=False,
    )

    #Desearch Twitter post search
    result = datura.twitter_links_search(
        prompt="Bittensor",
        model="NOVA",
    )

    #Desearch Web links search
    result = datura.web_links_search(
        prompt="Bittensor",
        tools=[
            "web",
            "hackernews",
            "reddit",
            "wikipedia",
            "youtube",
            "arxiv"
        ],
        model="NOVA",
    )

    #Basic Twitter search
    result = datura.basic_twitter_search(
        query="Whats going on with Bittensor",
        sort="Top",
        user="elonmusk",
        start_date="2024-12-01",
        end_date="2025-02-25",
        lang="en",
        verified=True,
        blue_verified=True,
        is_quote=True,
        is_video=True,
        is_image=True,
        min_retweets=1,
        min_replies=1,
        min_likes=1,
        count=10
    )

    #Basic Web search
    result = datura.basic_web_search(
        query="latest news on AI",
        num=10,
        start=0
    )

    #Fetch Tweets by URLs
    result = datura.twitter_by_urls(
        urls=["https://twitter.com/elonmusk/status/1613000000000000000"]
    )

    #Fetch Tweets by ID
    result = datura.twitter_by_id(id="123456789")

    #Fetch Tweets by User
    result = datura.tweets_by_user(
        user="elonmusk",
        query="Bittensor",
        count=10
    )

    #Fetch Latest Tweets
    result = datura.latest_twits(
        user="elonmusk",
        count=10
    )

    #Fetch Tweets and Replies by User
    result = datura.tweets_and_replies_by_user(
        user="elonmusk",
        query="Bittensor",
        count=10
    )

    #Fetch Replies by Post
    result = datura.twitter_replies_post(
        post_id="123456789",
        count=10
        query="Bittensor"
    )

    #Fetch Retweets by Post
    result = datura.twitter_retweets_post(
        post_id="123456789",
        count=10,
        query="Bittensor"
    )

    #Fetch Tweeter User
    result = datura.tweeter_user(
        user="elonmusk")

Project details


Download files

Download the file for your platform. If you're not sure which to choose, learn more about installing packages.

Source Distribution

datura_py-0.0.15.tar.gz (11.4 kB view details)

Uploaded Source

Built Distribution

If you're not sure about the file name format, learn more about wheel file names.

datura_py-0.0.15-py3-none-any.whl (10.9 kB view details)

Uploaded Python 3

File details

Details for the file datura_py-0.0.15.tar.gz.

File metadata

  • Download URL: datura_py-0.0.15.tar.gz
  • Upload date:
  • Size: 11.4 kB
  • Tags: Source
  • Uploaded using Trusted Publishing? No
  • Uploaded via: twine/6.1.0 CPython/3.13.2

File hashes

Hashes for datura_py-0.0.15.tar.gz
Algorithm Hash digest
SHA256 572197394b8762fdf8f9e89b8756e23f42c98e0c75f0798c2f2d9e406224ce2c
MD5 b34bbef083d1dd0cceeb99f2666326bc
BLAKE2b-256 9ad8f0fc937bd475e6009b49f432f245149a5d423dfae7ef9126138a1eb4624e

See more details on using hashes here.

File details

Details for the file datura_py-0.0.15-py3-none-any.whl.

File metadata

  • Download URL: datura_py-0.0.15-py3-none-any.whl
  • Upload date:
  • Size: 10.9 kB
  • Tags: Python 3
  • Uploaded using Trusted Publishing? No
  • Uploaded via: twine/6.1.0 CPython/3.13.2

File hashes

Hashes for datura_py-0.0.15-py3-none-any.whl
Algorithm Hash digest
SHA256 0ce8d09c4184e5de2b51407d5c38cc8a5ac865c3dc89a6e2ce6a266c62150446
MD5 6ddda05d161643b6c681afca2a31484a
BLAKE2b-256 a4f204f7c0ebd00bdc881b8014195fb654ea9f1f83b83eaa9f4697d3cf1c0a84

See more details on using hashes here.

Supported by

AWS Cloud computing and Security Sponsor Datadog Monitoring Depot Continuous Integration Fastly CDN Google Download Analytics Pingdom Monitoring Sentry Error logging StatusPage Status page