# unsplash-lite-dataset-api

Utilities for exporting Unsplash-style photo metadata from Postgres into an OpenSearch index and querying it programmatically.

## Features

- Environment-driven configuration helpers for Postgres and OpenSearch clients.
- Document extraction utilities that assemble rich photo documents ready for indexing.
- Index management helpers with synonym-aware analyzers and bulk ingestion support.
- Query helpers for end-user search flows, including color filters and keyword boosting.
- A CLI (`files-unsplash-index`) for end-to-end ingestion using your configured environments.
- Optional tools for generating large synonym lists from the NLTK WordNet corpus.

## Installation

```bash
pip install .
```

The package requires Python 3.9 or later. Installing in editable mode during development is also supported:

```bash
pip install -e .[dev]
```

The `[dev]` extra installs `pytest` for running the included tests.

## Configuration

Set the following environment variables (a `.env` file is supported automatically):

- `PG_HOST`, `PG_PORT`, `PG_DB`, `PG_USER`, `PG_PASSWORD`
- `OPENSEARCH_HOST`, `OPENSEARCH_PORT`, `OPENSEARCH_USE_SSL`, `OPENSEARCH_VERIFY_CERTS`, `OPENSEARCH_REGION`
- `AWS_ACCESS_KEY_ID`, `AWS_SECRET_ACCESS_KEY`, optional `AWS_SESSION_TOKEN`
- Optional: `OPENSEARCH_CONNECT_TIMEOUT`

## Command-line usage

The `unsplash-lite-dataset-api` CLI provides subcommands for all major operations.

### Indexing

Generate (or supply) a synonyms file and run the indexer:

```bash
unsplash-lite-dataset-api index \
  --synonyms-path ./synonyms.txt \
  --index-name unsplash_photos \
  --batch-size 500
```

### Searching

Search the index:

```bash
unsplash-lite-dataset-api search \
  --index-name unsplash_photos \
  --query-text "blue ocean sunset" \
  --size 10
```

For pagination, use `--from` to specify the offset:

```bash
unsplash-lite-dataset-api search \
  --index-name unsplash_photos \
  --query-text "blue ocean sunset" \
  --size 10 \
  --from 20
```

### Extracting documents

Extract photo documents from Postgres:

```bash
unsplash-lite-dataset-api extract --output photos.json
```

### Generating synonyms

Generate a synonyms file from WordNet:

```bash
unsplash-lite-dataset-api synonyms --output ./synonyms.txt --include-hyponyms
```

### Index management

Create an empty index:

```bash
unsplash-lite-dataset-api create-index --synonyms-path ./synonyms.txt
```

Delete an index:

```bash
unsplash-lite-dataset-api delete-index --index-name unsplash_photos
```

For backwards compatibility, you can still run:

```bash
python -m main_index
```

which now delegates to the CLI's `index` command using `synonyms.txt` located next to the script.

## Library usage

```python
from unsplash_lite_dataset_api import (
    load_postgres_config,
    load_opensearch_config,
    create_pg_connection,
    create_opensearch_client,
    generate_documents,
    load_synonyms_from_file,
    build_index,
)

pg_cfg = load_postgres_config()
os_cfg = load_opensearch_config()

with create_pg_connection(pg_cfg) as pg_conn:
    os_client = create_opensearch_client(os_cfg)
    synonyms = load_synonyms_from_file("./synonyms.txt")
    build_index(
        client=os_client,
        conn=pg_conn,
        index_name="unsplash_photos",
        synonyms=synonyms,
    )
```

For searching:

```python
from unsplash_lite_dataset_api import create_opensearch_client, load_opensearch_config, search_images

client = create_opensearch_client(load_opensearch_config())
results = search_images(
    client,
    index_name="unsplash_photos",
    query_text="blue ocean sunset",
    size=10,
    from_=20,  # For pagination
)
```

## Synonym generation

Use the WordNet helpers to build a synonyms file when you do not already have one:

```python
from pathlib import Path
from unsplash_lite_dataset_api import generate_wordnet_synonyms_file

target = Path("./synonyms.txt")
generate_wordnet_synonyms_file(target)
```

Ensure the NLTK `wordnet` and `omw-1.4` corpora are installed locally. If they are missing, the helper raises a detailed `WordnetInitializationError` describing how to fix the environment.

## Testing

Run the unit tests with:

```bash
pytest
```

The tests cover the search query builder and synonym loader utilities.
