stash-graphql-client 0.5.0b2

Async Python client for Stash GraphQL API

stash-graphql-client

Async Python client for Stash GraphQL API.

Features

• Async-first: Built with gql + HTTPXAsyncTransport + WebsocketsTransport
• Pydantic types: All Stash GraphQL schema objects as Pydantic models
• Full CRUD: Operations for all entity types (Scene, Gallery, Performer, Studio, Tag, etc.)
• Job management: Metadata scanning, generation, and job status tracking
• Subscriptions: GraphQL subscription support for real-time updates

Installation

From PyPI (Recommended)

pip install stash-graphql-client

With Poetry

poetry add stash-graphql-client

From Source

git clone https://github.com/Jakan-Kink/stash-graphql-client.git
cd stash-graphql-client
poetry install

Requirements

• Python 3.12+
• Poetry for development

Quick Start

from stash_graphql_client import StashClient, StashContext

# Using context manager (recommended)
async with StashContext(conn={
    "Host": "localhost",
    "Port": 9999,
    "ApiKey": "your-api-key",  # Optional
}) as client:
    # Find all studios
    result = await client.find_studios()
    print(f"Found {result.count} studios")

    # Create a new tag
    tag = await client.create_tag(name="My Tag")
    print(f"Created tag: {tag.name}")

# Or manual lifecycle management
context = StashContext(conn={"Host": "localhost", "Port": 9999})
client = await context.get_client()
try:
    scenes = await client.find_scenes()
finally:
    await context.close()

Connection Options

conn = {
    "Scheme": "http",      # or "https"
    "Host": "localhost",   # Stash server host
    "Port": 9999,          # Stash server port
    "ApiKey": "...",       # Optional API key
}

Available Operations

Scenes

• find_scenes(), find_scene(id), create_scene(), update_scene(), destroy_scene()

Galleries

• find_galleries(), find_gallery(id), create_gallery(), update_gallery(), destroy_gallery()

Performers

• find_performers(), find_performer(id), create_performer(), update_performer(), destroy_performer()

Studios

• find_studios(), find_studio(id), create_studio(), update_studio(), destroy_studio()

Tags

• find_tags(), find_tag(id), create_tag(), update_tag(), destroy_tag()

Metadata Operations

• metadata_scan() - Scan for new media
• metadata_generate() - Generate thumbnails, previews, etc.
• find_job(), wait_for_job() - Job status tracking

Fuzzy Date Support (Stash v0.30.0+)

Stash v0.30.0 introduced support for partial dates (year-only or year-month formats) in addition to full dates. This client includes utilities to work with these "fuzzy" dates:

from stash_graphql_client.types import (
    FuzzyDate,
    validate_fuzzy_date,
    normalize_date,
    DatePrecision,
)

# Validate date formats
validate_fuzzy_date("2024")        # True - year only
validate_fuzzy_date("2024-03")     # True - year and month
validate_fuzzy_date("2024-03-15")  # True - full date
validate_fuzzy_date("2024-3")      # False - invalid format

# Create fuzzy dates
date = FuzzyDate("2024-03")
print(date.precision)  # DatePrecision.MONTH
print(date.to_datetime())  # datetime(2024, 3, 1)

# Normalize dates to different precisions
normalize_date("2024-03-15", "year")   # "2024"
normalize_date("2024-03-15", "month")  # "2024-03"
normalize_date("2024", "day")          # "2024-01-01"

# Use in performer/scene data
performer_data = {
    "name": "John Doe",
    "birthdate": "1990",  # Year-only birthdate
}
await client.create_performer(**performer_data)

scene_data = {
    "date": "2024-03",  # Month precision
}

Supported date formats:

• YYYY - Year precision (e.g., "2024")
• YYYY-MM - Month precision (e.g., "2024-03")
• YYYY-MM-DD - Day precision (e.g., "2024-03-15")

License

MIT