Metadata-Version: 2.4
Name: hoglah
Version: 0.3.0
Summary: Lightweight local-first job queue manager and Ollama wrapper for resource-constrained environments.
Author: gellsmore-svg
License:                                  Apache License
                                   Version 2.0, January 2004
                                http://www.apache.org/licenses/
        
           TERMS AND CONDITIONS FOR USE, REPRODUCTION, AND DISTRIBUTION
        
           1. Definitions.
        
              "License" shall mean the terms and conditions for use, reproduction,
              and distribution as defined by Sections 1 through 9 of this document.
        
              "Licensor" shall mean the copyright owner or entity authorized by
              the copyright owner that is granting the License.
        
              "Legal Entity" shall mean the union of the acting entity and all
              other entities that control, are controlled by, or are under common
              control with that entity. For the purposes of this definition,
              "control" means (i) the power, direct or indirect, to cause the
              direction or management of such entity, whether by contract or
              otherwise, or (ii) ownership of fifty percent (50%) or more of the
              outstanding shares, or (iii) beneficial ownership of such entity.
        
              "You" (or "Your") shall mean an individual or Legal Entity
              exercising permissions granted by this License.
        
              "Source" form shall mean the preferred form for making modifications,
              including but not limited to software source code, documentation
              source, and configuration files.
        
              "Object" form shall mean any form resulting from mechanical
              transformation or translation of a Source form, including but
              not limited to compiled object code, generated documentation,
              and conversions to other media types.
        
              "Work" shall mean the work of authorship, whether in Source or
              Object form, made available under the License, as indicated by a
              copyright notice that is included in or attached to the work
              (an example is provided in the Appendix below).
        
              "Derivative Works" shall mean any work, whether in Source or Object
              form, that is based on (or derived from) the Work and for which the
              editorial revisions, annotations, elaborations, or other modifications
              represent, as a whole, an original work of authorship. For the purposes
              of this License, Derivative Works shall not include works that remain
              separable from, or merely link (or bind by name) to the interfaces of,
              the Work and Derivative Works thereof.
        
              "Contribution" shall mean any work of authorship, including
              the original version of the Work and any modifications or additions
              to that Work or Derivative Works thereof, that is intentionally
              submitted to Licensor for inclusion in the Work by the copyright owner
              or by an individual or Legal Entity authorized to submit on behalf of
              the copyright owner. For the purposes of this definition, "submitted"
              means any form of electronic, verbal, or written communication sent
              to the Licensor or its representatives, including but not limited to
              communication on electronic mailing lists, source code control systems,
              and issue tracking systems that are managed by, or on behalf of, the
              Licensor for the purpose of discussing and improving the Work, but
              excluding communication that is conspicuously marked or otherwise
              designated in writing by the copyright owner as "Not a Contribution."
        
              "Contributor" shall mean Licensor and any individual or Legal Entity
              on behalf of whom a Contribution has been received by Licensor and
              subsequently incorporated within the Work.
        
           2. Grant of Copyright License. Subject to the terms and conditions of
              this License, each Contributor hereby grants to You a perpetual,
              worldwide, non-exclusive, no-charge, royalty-free, irrevocable
              copyright license to reproduce, prepare Derivative Works of,
              publicly display, publicly perform, sublicense, and distribute the
              Work and such Derivative Works in Source or Object form.
        
           3. Grant of Patent License. Subject to the terms and conditions of
              this License, each Contributor hereby grants to You a perpetual,
              worldwide, non-exclusive, no-charge, royalty-free, irrevocable
              (except as stated in this section) patent license to make, have made,
              use, offer to sell, sell, import, and otherwise transfer the Work,
              where such license applies only to those patent claims licensable
              by such Contributor that are necessarily infringed by their
              Contribution(s) alone or by combination of their Contribution(s)
              with the Work to which such Contribution(s) was submitted. If You
              institute patent litigation against any entity (including a
              cross-claim or counterclaim in a lawsuit) alleging that the Work
              or a Contribution incorporated within the Work constitutes direct
              or contributory patent infringement, then any patent licenses
              granted to You under this License for that Work shall terminate
              as of the date such litigation is filed.
        
           4. Redistribution. You may reproduce and distribute copies of the
              Work or Derivative Works thereof in any medium, with or without
              modifications, and in Source or Object form, provided that You
              meet the following conditions:
        
              (a) You must give any other recipients of the Work or
                  Derivative Works a copy of this License; and
        
              (b) You must cause any modified files to carry prominent notices
                  stating that You changed the files; and
        
              (c) You must retain, in the Source form of any Derivative Works
                  that You distribute, all copyright, patent, trademark, and
                  attribution notices from the Source form of the Work,
                  excluding those notices that do not pertain to any part of
                  the Derivative Works; and
        
              (d) If the Work includes a "NOTICE" text file as part of its
                  distribution, then any Derivative Works that You distribute must
                  include a readable copy of the attribution notices contained
                  within such NOTICE file, excluding those notices that do not
                  pertain to any part of the Derivative Works, in at least one
                  of the following places: within a NOTICE text file distributed
                  as part of the Derivative Works; within the Source form or
                  documentation, if provided along with the Derivative Works; or,
                  within a display generated by the Derivative Works, if and
                  wherever such third-party notices normally appear. The contents
                  of the NOTICE file are for informational purposes only and
                  do not modify the License. You may add Your own attribution
                  notices within Derivative Works that You distribute, alongside
                  or as an addendum to the NOTICE text from the Work, provided
                  that such additional attribution notices cannot be construed
                  as modifying the License.
        
              You may add Your own copyright statement to Your modifications and
              may provide additional or different license terms and conditions
              for use, reproduction, or distribution of Your modifications, or
              for any such Derivative Works as a whole, provided Your use,
              reproduction, and distribution of the Work otherwise complies with
              the conditions stated in this License.
        
           5. Submission of Contributions. Unless You explicitly state otherwise,
              any Contribution intentionally submitted for inclusion in the Work
              by You to the Licensor shall be under the terms and conditions of
              this License, without any additional terms or conditions.
              Notwithstanding the above, nothing herein shall supersede or modify
              the terms of any separate license agreement you may have executed
              with Licensor regarding such Contributions.
        
           6. Trademarks. This License does not grant permission to use the trade
              names, trademarks, service marks, or product names of the Licensor,
              except as required for reasonable and customary use in describing the
              origin of the Work and reproducing the content of the NOTICE file.
        
           7. Disclaimer of Warranty. Unless required by applicable law or
              agreed to in writing, Licensor provides the Work (and each
              Contributor provides its Contributions) on an "AS IS" BASIS,
              WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or
              implied, including, without limitation, any warranties or conditions
              of TITLE, NON-INFRINGEMENT, MERCHANTABILITY, or FITNESS FOR A
              PARTICULAR PURPOSE. You are solely responsible for determining the
              appropriateness of using or redistributing the Work and assume any
              risks associated with Your exercise of permissions under this License.
        
           8. Limitation of Liability. In no event and under no legal theory,
              whether in tort (including negligence), contract, or otherwise,
              unless required by applicable law (such as deliberate and grossly
              negligent acts) or agreed to in writing, shall any Contributor be
              liable to You for damages, including any direct, indirect, special,
              incidental, or consequential damages of any character arising as a
              result of this License or out of the use or inability to use the
              Work (including but not limited to damages for loss of goodwill,
              work stoppage, computer failure or malfunction, or any and all
              other commercial damages or losses), even if such Contributor
              has been advised of the possibility of such damages.
        
           9. Accepting Warranty or Additional Liability. While redistributing
              the Work or Derivative Works thereof, You may choose to offer,
              and charge a fee for, acceptance of support, warranty, indemnity,
              or other liability obligations and/or rights consistent with this
              License. However, in accepting such obligations, You may act only
              on Your own behalf and on Your sole responsibility, not on behalf
              of any other Contributor, and only if You agree to indemnify,
              defend, and hold each Contributor harmless for any liability
              incurred by, or claims asserted against, such Contributor by reason
              of your accepting any such warranty or additional liability.
        
           END OF TERMS AND CONDITIONS
        
           APPENDIX: How to apply the Apache License to your work.
        
              To apply the Apache License to your work, attach the following
              boilerplate notice, with the fields enclosed by brackets "[]"
              replaced with your own identifying information. (Don't include
              the brackets!)  The text should be enclosed in the appropriate
              comment syntax for the file format. We also recommend that a
              file or class name and description of purpose be included on the
              same "printed page" as the copyright notice for easier
              identification within third-party archives.
        
           Copyright [yyyy] [name of copyright owner]
        
           Licensed under the Apache License, Version 2.0 (the "License");
           you may not use this file except in compliance with the License.
           You may obtain a copy of the License at
        
               http://www.apache.org/licenses/LICENSE-2.0
        
           Unless required by applicable law or agreed to in writing, software
           distributed under the License is distributed on an "AS IS" BASIS,
           WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.
           See the License for the specific language governing permissions and
           limitations under the License.
        
Project-URL: Homepage, https://github.com/gellsmore-svg/hoglah
Project-URL: Repository, https://github.com/gellsmore-svg/hoglah
Project-URL: Issues, https://github.com/gellsmore-svg/hoglah/issues
Keywords: ollama,llm,queue,job-queue,local-first,async,agentic,background-tasks
Classifier: Development Status :: 3 - Alpha
Classifier: Environment :: Console
Classifier: Intended Audience :: Developers
Classifier: License :: OSI Approved :: Apache Software License
Classifier: Programming Language :: Python :: 3
Classifier: Programming Language :: Python :: 3.11
Classifier: Programming Language :: Python :: 3.12
Classifier: Topic :: Software Development :: Libraries :: Application Frameworks
Classifier: Topic :: Scientific/Engineering :: Artificial Intelligence
Classifier: Typing :: Typed
Requires-Python: >=3.11
Description-Content-Type: text/markdown
License-File: LICENSE
Requires-Dist: pydantic>=2.7
Requires-Dist: pydantic-settings>=2.0
Requires-Dist: ollama>=0.3
Provides-Extra: dev
Requires-Dist: pytest>=8.0; extra == "dev"
Requires-Dist: pytest-cov>=5.0; extra == "dev"
Requires-Dist: httpx>=0.27; extra == "dev"
Requires-Dist: ruff>=0.4; extra == "dev"
Provides-Extra: cli
Requires-Dist: typer>=0.12; extra == "cli"
Dynamic: license-file

# Hoglah

**Hoglah** is a lightweight, local-first job queue manager and Ollama wrapper designed for resource-constrained environments.

It lets applications submit LLM inference requests (generate or chat) asynchronously, receive a job ID immediately, monitor progress, retrieve full results, and receive completion callbacks — even when the underlying hardware can only run one (or very few) model inferences at a time.

Named after one of the daughters of Zelophehad (Numbers 26/27/36, Joshua 17), continuing the Old Testament women's names pattern used by sister projects in the domains family (Mahalath, Tirzah, etc.).

## Core Value Proposition

- Simple Python-native interface for internal/library use
- Reliable queuing with durable persistence (survives restarts)
- Smart handling of context windows and model capabilities
- Fire-and-forget + callback patterns for workflow orchestration
- Fully local, privacy-focused, zero-cloud dependency
- Extensible foundation (web API / webhooks / distributed backends planned for later versions)

**Target users**: Developers building multi-agent systems, background task processors, or local AI tooling that needs to safely queue and manage LLM calls.

## Goals (V1)

- Clean, reliable abstraction over Ollama for queuing
- Configurable concurrency (default: 1 for low-resource setups)
- Model discovery, context calibration, and basic resource awareness
- Easy integration into existing Python applications
- Persistent job state across process restarts
- Keep V1 simple, focused, and production-ready for local use

## Non-Goals (V1)

- Full distributed orchestration or high-availability clustering
- Built-in web UI (deferred to V2)
- Advanced authentication / multi-tenancy
- Non-Ollama backends
- Real-time streaming UI surfaces (file + callback sufficient)

## Installation

### From PyPI (recommended)
```bash
pip install hoglah
# With the CLI
pip install "hoglah[cli]"
```
Hoglah is published on PyPI: https://pypi.org/project/hoglah/

### From GitHub Releases (no PyPI needed)
Every `vX.Y.Z` tag publishes a GitHub Release with a wheel + sdist:

```bash
# Latest wheel
pip install "hoglah[cli] @ https://github.com/gellsmore-svg/hoglah/releases/latest/download/hoglah-0.2.2-py3-none-any.whl"

# Or a specific version
pip install "hoglah[cli] @ https://github.com/gellsmore-svg/hoglah/releases/download/v0.2.2/hoglah-0.2.2-py3-none-any.whl"
```

### From source (for development)
```bash
git clone https://github.com/gellsmore-svg/hoglah
cd hoglah
python -m venv .venv
.venv/bin/pip install -e ".[dev,cli]"
```

### Maintainers: releasing

Releases are automated. Pushing a `vX.Y.Z` tag runs `.github/workflows/release.yml`,
which builds the wheel + sdist, creates the GitHub Release, and publishes to PyPI
via OIDC trusted publishing (no API token stored). PyPI trusted publishing is
already configured for this repo (publisher: `gellsmore-svg/hoglah`, workflow
`release.yml`, no environment). So a release is just:

```bash
# bump version in pyproject.toml + update CHANGELOG, commit, then:
git tag vX.Y.Z && git push origin vX.Y.Z
```

## Quick Start (Planned)

Once implemented:

```bash
git clone https://github.com/gellsmore-svg/hoglah
cd hoglah
python -m venv .venv && .venv/bin/pip install -e ".[dev,cli]"
```

```python
from hoglah import Hoglah

h = Hoglah()  # or Hoglah(config_path="...")

job_id = h.submit(
    prompt="Explain the significance of Hoglah in the biblical land allotment.",
    model="gemma3:1b",
    tags=["research", "bible"],
    callback=lambda result: print("Done:", result.job_id, result.output[:100]),
)

print("Submitted:", job_id)
print(h.status(job_id))

result = h.wait(job_id, timeout=120)
print(result.output)

# Recommended: context manager for auto cleanup of the background worker
with Hoglah() as h:
    job_id = h.submit(prompt="...", model="gemma3:1b")
    print(h.wait(job_id).output)
```

CLI:

```bash
hoglah submit "Explain Hoglah" --model gemma3:1b --wait
hoglah list --status completed
hoglah ps --json                 # alias for list, machine-readable
hoglah stats --json              # queue overview (counts by status)
hoglah info --json               # config + adapter + log_level + stats snapshot
hoglah show gemma3:1b --json     # model details (context, template, etc.)
hoglah clear --status completed --older-than 7 --yes  # prune old jobs
hoglah rm <job-id> --yes  # remove specific job
hoglah wait <job-id> --timeout 60 --json  # block until done, machine readable
hoglah doctor --real  # diagnose setup and real Ollama/llama.cpp connectivity
hoglah status <job-id> --json

## V1 Scope

Hoglah 0.2.1 implements the full V1 specification from `docs/requirements-v1.0.md` and `docs/project-brief.md`.

**Included (V1):**
- Submit (prompt or messages/chat), immediate UUID.
- Status, get result (with output, usage, timings, metadata, parent, **truncated** reporting + effective_num_ctx).
- List (status, tags, **parent_job_id** filters; rich human + --json with preview).
- Cancel (best-effort).
- Wait (standalone or via submit --wait).
- rm / clear (per-job or bulk by status/age).
- info / stats (config, adapter, queue overview).
- Models: list + show (details, context size, template, family).
- pull (auto on real submit, or explicit).
- run (foreground worker).
- In-process callbacks (direct + named registry for restart re-delivery).
- Restart recovery (interrupted jobs + callback re-delivery).
- Pluggable adapters (safe Stub default + real Ollama with auto-pull, model-aware context, truncation via done_reason).
- Configurable concurrency (default 1), log_level, db, ollama host.
- Full submit surface (temperature, top_p/k, num_ctx, format, keep_alive, metadata, parent, etc.).
- Persistence (SQLite), context manager, --json everywhere.

**Explicitly not in V1 (per non-goals):**
- Web UI / HTTP server (V2).
- Webhooks / callback_url.
- Distributed / multi-node.
- Non-Ollama backends.
- Complex dependency graph execution (parent_job_id is for traceability only; no automatic waiting/fan-out).
- Real-time streaming UI (polling wait + final callbacks sufficient).

See the full requirements review and V1 completeness note in `.restart.md`.

You can also run the packaged install smoke test after installing the wheel:
```bash
python scripts/test_packaged_install.py
```

To validate with your working local Ollama (full real adapter paths including show, pull, context auto-detect):
```bash
RUN_OLLAMA_TESTS=1 python scripts/test_packaged_install.py
# or
HOGLAH_USE_REAL_ADAPTER=1 python scripts/test_packaged_install.py
```

**Real Ollama / llama.cpp:** Opt-in via `use_real=True` / `HOGLAH_USE_REAL_ADAPTER=1` / `--real`. The "real" adapter talks to Ollama (which uses llama.cpp for inference).

**Real-Ollama validation status:** v0.2.2 has been validated end-to-end against a live Ollama (submit → worker → real inference, plus the gated integration test and the packaged-wheel smoke test in real mode). To reproduce on your machine:
```bash
python3 -m venv /tmp/hoglah-validate
/tmp/hoglah-validate/bin/pip install "hoglah[cli]"            # from PyPI
RUN_OLLAMA_TESTS=1 /tmp/hoglah-validate/bin/python scripts/test_packaged_install.py

# Or the gated integration test from a source checkout
RUN_OLLAMA_TESTS=1 python -m pytest tests/test_worker_execution.py::test_real_ollama_adapter_end_to_end -q -s
```

**WSL2 note:** if Ollama runs as the Windows binary and your code runs in WSL, the daemon is *not* reachable at `localhost` over HTTP. Set `OLLAMA_HOST=0.0.0.0` on the Windows side (`setx OLLAMA_HOST "0.0.0.0"`, then restart Ollama) and point the client at the WSL2 gateway IP, e.g.:
```bash
OLLAMA_HOST="http://$(ip route show default | awk '{print $3}'):11434" \
  RUN_OLLAMA_TESTS=1 python scripts/test_packaged_install.py
```
hoglah cancel <job-id>
hoglah models
hoglah run --real                # foreground worker using real Ollama
```

By default `hoglah` and `Hoglah()` use the safe stub adapter (no LLM calls). Use `--real` (CLI) or pass `adapter=OllamaAdapter(...)` (library) when you want actual inference.

`hoglah --version` / `-V` and `hoglah version` are supported. Use `with Hoglah(...) as h:` for automatic cleanup.

CLI now also includes `hoglah ps` (list alias) and `--json` output on list/ps/status/models. `hoglah submit` supports `--metadata` (JSON) and `--parent-job-id`. Real integration tests are gated behind `RUN_OLLAMA_TESTS=1`.

See `docs/requirements-v1.0.md` for the full initial specification.

## Submit API (Initial Draft)

```python
job_id = hoglah.submit(
    prompt: str | None = None,                    # or messages for chat
    messages: list[dict] | None = None,           # OpenAI-style chat history
    model: str,                                   # e.g. "gemma:7b", "mistral"
    system_prompt: str | None = None,
    num_ctx: int | None = None,                   # Context window size
    options: dict | None = None,                  # Passthrough for llama.cpp params
    callback: Callable[[JobResult], None] | None = None,  # Python callable
    callback_url: str | None = None,              # V2: HTTP webhook
    tags: list[str] | None = None,
    priority: int = 0,                            # Higher = earlier
    timeout_seconds: int | None = None,
    max_retries: int = 2,
    metadata: dict | None = None,                 # User-defined data
    parent_job_id: str | None = None,             # For chaining/dependencies
    temperature: float | None = None,
    top_p: float | None = None,
    top_k: int | None = None,
    repeat_penalty: float | None = None,
    seed: int | None = None,                      # Reproducibility
    stop: list[str] | None = None,                # Stop sequences
    num_predict: int | None = None,               # Max output tokens
    format: str | None = None,                    # e.g. "json"
    keep_alive: str | int | None = None,
    # ... full options dict covers the rest
)
```

## Current Status

**2026-06-12 (updated)**: Core implementation complete (Chunks 1-3 + follow-on polish).

- Full durable queue + background asyncio worker (concurrency=1 default)
- Pluggable adapters: `StubAdapter` (default, safe) + `OllamaAdapter` (real, opt-in via `use_real=True` or `--real`)
- `Hoglah(use_real=True)` convenience + `HOGLAH_USE_REAL_ADAPTER` env var
- Submit (prompt **or** messages/chat), rich generation params, status, get, list, cancel, wait, named+direct callbacks
- Restart recovery (interrupted jobs + callback re-delivery)
- Truncation metadata always surfaced (never fails the job)
- CLI: `list`, `status`, `cancel`, `submit` (with --messages, --temperature, --num-ctx etc.), `run`, `models`, `version`
- `examples/basic_usage.py` demonstrating the common patterns
- 26 passing tests (+1 gated real-Ollama test that passes against a live server); the default suite needs no Ollama (stub adapter).

See `docs/requirements-v1.0.md`, `docs/architecture-decisions.md`, and `.restart.md` for history and how to continue.

See sister domains for style and quality references:
- [Mahalath](https://github.com/gellsmore-svg/mahalath)
- [Tirzah](https://github.com/gellsmore-svg/tirzah)

## Architecture Sketch (Early)

- Client library (`Hoglah` or similar) for submit / status / wait / list / cancel
- SQLite-backed job store (jobs table + results / events)
- Worker loop (thread or task) with concurrency semaphore
- Ollama adapter (generate + chat paths, model info)
- In-process callback dispatch after completion
- CLI entrypoint for inspection and operations
- Config via constructor + env + small config file

Full details will evolve in `docs/architecture-decisions.md` and implementation docs.

## License

Apache 2.0 — see [LICENSE](LICENSE).

## Contributing

See [CONTRIBUTING.md](CONTRIBUTING.md).
