# AI Job Source Agent

For recently posted LinkedIn jobs, produces records of the form:

```
company_name, career_page_url, open_position_url
```

Runs in configurable batches, on a schedule, and is incremental — re-runs process only new jobs.

## Setup

```bash
python -m venv .venv && source .venv/bin/activate
pip install -r requirements.txt
playwright install chromium        # for the browser-agent tier
cp .env.example .env               # fill keys as available
```

## Run

```bash
# one batch
python -m jobsource.main --batch-size 20 --search "software engineer" --location "United States"

# scheduled run (Prefect)
python -m jobsource.flow

# cron fallback (no daemon):
# */0 6 * * * cd <repo> && ./.venv/bin/python -m jobsource.main --batch-size 50
```

`--search` is repeatable. Run `python -m jobsource.main --help` for all options.

## Tests

```bash
pytest -q
```

## Output

`output/results.csv` — three columns: `company_name`, `career_page_url`, `open_position_url`.
Complete rows (status `position_found`) are sorted first.