fpt-api

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A wrapper around shotgun_api3 to allow retrieval of query fields/calculated fields

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# fpt-api

A thread-safe wrapper around Flow Production Tracking (formerly ShotGrid) that extends [shotgun_api3](https://github.com/shotgunsoftware/python-api) to support query field retrieval and parallel processing.

It also supports the retrieval of all Entities of a given Page, applying the Page filters.

## Features

- 🔍 Retrieves query fields (not supported in base `shotgun_api3`)
- 📄 Retrieves all Entities of a given Page, applying the Page filters
- 🧵 Thread-safe operations (not supported in base `shotgun_api3`)
- ⚡ Parallel processing for improved performance
- 🔄 Streaming results for processing large datasets
- 🔌 Drop-in replacement for basic shotgun_api3 operations
- • Supports dotted query fields, e.g. `entity.Shot.sg_assets_count`

## Installation

From PyPI:

pip install fpt-api
    pip install git+https://github.com/shotgunsoftware/python-api.git

From source:

pip install git+https://github.com/ksallee/fpt-api.git
    pip install git+https://github.com/shotgunsoftware/python-api.git

## Why This Wrapper?

The standard `shotgun_api3` library has two main limitations:
1. No support for query field retrieval, which is essential for reporting and analytics
2. Not thread-safe, which can cause issues in multi-threaded applications

This wrapper addresses both issues by:
- Implementing query field retrieval
- Adding thread safety
- Parallelizing query field retrieval for better performance
- Supporting streaming for large result sets

## Usage

### Basic Usage

from fpt_api import FPT

# Initialize the client
    fpt = FPT(
        "https://yourshotgunurl.com",
        script_name="your_script_name",
        api_key="your_script_key"
    )

# Find a single shot
    shot = fpt.find_one(
        "Shot",
        [["id", "is", 1234]],
        ["code", "sg_status_list", "sg_query_field"]
    )

# Find multiple shots (returns all results at once)
    shots = fpt.find(
        "Shot",
        [["id", "in", [1234, 12345]]],
        ["code", "sg_status_list", "sg_query_field"]
    )

# Stream results one by one
    for shot in fpt.yield_find(
        "Shot",
        [["id", "in", [1234, 12345]]],
        ["code", "sg_status_list", "sg_query_field"]
    ):
        process_shot(shot)  # Process each shot as it becomes ready

# Get the value of a dotted query field
    version = fpt.find_one(
        "Version",
        [["id", "is", 1234]],
        ["entity.Shot.sg_assets_count"]
    )

# Get all Entities of a given Page, applying the Page filters
    for shot in fpt.yield_page_entities(5105):
        print(shot)

### API Reference

Check out the [Official Shotgun API Reference](https://developers.shotgridsoftware.com/python-api/reference.html) for more information on the base `shotgun_api3` library.
FPT does not change the base API, but rather extends it with additional functionality.

Yield all Entities of a given Page, applying the Page filters:

def yield_page_entities(
        self,
        page_id: int,
        additional_filters: Optional[List] = None,
        fields: Optional[List[str]] = None,
    ) -> Iterator[Entity]:
        """
        Yield entities from a Page, applying the Page filters.

:param page_id: ID of the Page to process
        :param additional_filters: Additional filters to apply
        :param fields: Fields to retrieve
        :yields: Entities found
        """

## Performance Notes

- Query fields are retrieved in parallel using threads
- For standard find(), results are returned after all query fields are retrieved
- yield_find() streams results as they become available
- Connection pooling reduces overhead for multiple requests

## Contributing

Contributions are welcome! Please feel free to submit pull requests.

## License

This project is licensed under the GNU General Public License v3.0 - see the [LICENSE](LICENSE) file for details.

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