| Name | task-mq JSON |
| Version |
0.1.1
JSON |
| download |
| home_page | https://github.com/gvarun01/task-mq |
| Summary | Modern, developer-friendly Python task queue and job processing framework with CLI, API, and pluggable storage backends for scalable background job processing. |
| upload_time | 2025-08-27 17:51:23 |
| maintainer | None |
| docs_url | None |
| author | Varun Gupta |
| requires_python | >=3.8 |
| license | Apache License
Version 2.0, January 2004
http://www.apache.org/licenses/
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|
| keywords |
task-queue
job-processing
background-jobs
worker
async
scheduler
cli
api
fastapi
prometheus
sqlite
redis
|
| VCS |
 |
| bugtrack_url |
|
| requirements |
fastapi
prometheus_client
pyjwt
httpx
|
| Travis-CI |
No Travis.
|
| coveralls test coverage |
No coveralls.
|
# TaskMQ
[](https://pypi.org/project/task-mq/)
[](https://github.com/gvarun01/task-mq/actions)
**TaskMQ** is a modern, developer-friendly Python task queue and job processing framework. It helps you run background jobs, automate workflows, and build scalable systems with ease.
- 🚀 Simple CLI and API for adding and running jobs
- 🧩 Register custom Python handlers for any task
- 🔐 Secure, observable, and production-ready
- 📦 Pluggable storage backends (SQLite, Redis stub)
- 🧪 Full test suite and CI
---
## Installation
### From PyPI (Recommended)
```bash
pip install task-mq
```
### From Source (for development)
```bash
git clone https://github.com/gvarun01/task-mq.git
cd task-mq
python -m venv .venv && source .venv/bin/activate
pip install -e .
```
---
## Quickstart
### CLI Usage
Add a job:
```bash
taskmq add-job --payload '{"task": "hello world"}' --handler dummy
```
Run a worker:
```bash
taskmq run-worker --max-workers 1
```
Serve the API:
```bash
taskmq serve-api
```
### Python Library Usage
You can use TaskMQ directly in your own Python scripts:
```python
from taskmq.jobs.handlers import register_handler
from taskmq.worker import Worker
from taskmq.storage.sqlite_backend import SQLiteBackend
@register_handler("mytask")
def my_handler(job):
print("Processing:", job.payload)
backend = SQLiteBackend()
job_id = backend.insert_job('{"task": "from script"}', handler="mytask")
worker = Worker(max_workers=1, backend=backend)
worker.start()
```
---
## Features
* **Task Queue Engine**: Retries, scheduling, periodic jobs, concurrent workers
* **CLI**: Add jobs, run workers, serve API
* **API**: RESTful endpoints, JWT auth, Prometheus metrics
* **Handler Registry**: Register custom Python functions for job types
* **Storage**: SQLite backend (default), Redis stub for future
* **Monitoring**: Prometheus metrics for jobs, queue, durations
* **Docker**: Dockerfile and docker-compose for easy deployment
---
## Handler Registration & Discovery
- Register handlers using `@register_handler("name")` in any imported module.
- **Important:** Handlers must be registered (imported) before starting workers.
- If you define handlers in your own module, import them before running the worker or API.
---
## Advanced Usage
### Scheduling & Periodic Jobs
- Schedule jobs for the future or set as periodic (see API/handler docs for details).
- Example:
```python
backend.insert_job('{"task": "future"}', handler="mytask", scheduled_for=datetime.datetime(2024, 12, 31, 12, 0, 0))
```
### Retry Policies
- Supported: `fixed`, `exponential`, `none` (set per job)
- Example:
```python
backend.insert_job('{"task": "retry"}', handler="mytask", retry_policy="fixed")
```
### Monitoring
- Prometheus metrics at `/monitor/metrics` (API) and via worker process
---
## Docker Usage
Build and run with Docker:
```bash
docker build -t taskmq .
docker run --rm -p 8000:8000 taskmq serve-api
```
Or use docker-compose:
```bash
docker-compose up
```
---
## API Usage Example (Python)
```python
import httpx
# Add a job via API (requires JWT token)
response = httpx.post(
"http://127.0.0.1:8000/add-job",
json={"payload": {"task": "api"}, "handler": "dummy"},
headers={"Authorization": "Bearer <your_token>"}
)
print(response.json())
```
---
## Documentation
- [Quickstart](docs/quickstart.md)
- [Usage Guide](docs/usage.md)
- [Writing Handlers](docs/handlers.md)
- [API Reference](docs/api.md)
- [Full Docs (mkdocs)](docs/index.md)
---
## Contributing
Pull requests and issues are welcome! See [CONTRIBUTING.md](docs/contributing.md) for guidelines.
---
Raw data
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"requires_python": ">=3.8",
"maintainer_email": "Varun Gupta <varungupta8976@gmail.com>",
"keywords": "task-queue, job-processing, background-jobs, worker, async, scheduler, cli, api, fastapi, prometheus, sqlite, redis",
"author": "Varun Gupta",
"author_email": "Varun Gupta <varungupta8976@gmail.com>",
"download_url": "https://files.pythonhosted.org/packages/86/b7/3ac7078d7b12410ee97c07010aa10f1bb4b6722cc1cfc1f4fa71f7883138/task_mq-0.1.1.tar.gz",
"platform": null,
"description": "# TaskMQ\n\n[](https://pypi.org/project/task-mq/)\n[](https://github.com/gvarun01/task-mq/actions)\n\n**TaskMQ** is a modern, developer-friendly Python task queue and job processing framework. It helps you run background jobs, automate workflows, and build scalable systems with ease.\n\n- \ud83d\ude80 Simple CLI and API for adding and running jobs\n- \ud83e\udde9 Register custom Python handlers for any task\n- \ud83d\udd10 Secure, observable, and production-ready\n- \ud83d\udce6 Pluggable storage backends (SQLite, Redis stub)\n- \ud83e\uddea Full test suite and CI\n\n---\n\n## Installation\n\n### From PyPI (Recommended)\n\n```bash\npip install task-mq\n```\n\n### From Source (for development)\n\n```bash\ngit clone https://github.com/gvarun01/task-mq.git\ncd task-mq\npython -m venv .venv && source .venv/bin/activate\npip install -e .\n```\n\n---\n\n## Quickstart\n\n### CLI Usage\n\nAdd a job:\n```bash\ntaskmq add-job --payload '{\"task\": \"hello world\"}' --handler dummy\n```\n\nRun a worker:\n```bash\ntaskmq run-worker --max-workers 1\n```\n\nServe the API:\n```bash\ntaskmq serve-api\n```\n\n### Python Library Usage\n\nYou can use TaskMQ directly in your own Python scripts:\n\n```python\nfrom taskmq.jobs.handlers import register_handler\nfrom taskmq.worker import Worker\nfrom taskmq.storage.sqlite_backend import SQLiteBackend\n\n@register_handler(\"mytask\")\ndef my_handler(job):\n print(\"Processing:\", job.payload)\n\nbackend = SQLiteBackend()\njob_id = backend.insert_job('{\"task\": \"from script\"}', handler=\"mytask\")\n\nworker = Worker(max_workers=1, backend=backend)\nworker.start()\n```\n\n---\n\n## Features\n\n* **Task Queue Engine**: Retries, scheduling, periodic jobs, concurrent workers\n* **CLI**: Add jobs, run workers, serve API\n* **API**: RESTful endpoints, JWT auth, Prometheus metrics\n* **Handler Registry**: Register custom Python functions for job types\n* **Storage**: SQLite backend (default), Redis stub for future\n* **Monitoring**: Prometheus metrics for jobs, queue, durations\n* **Docker**: Dockerfile and docker-compose for easy deployment\n\n---\n\n## Handler Registration & Discovery\n\n- Register handlers using `@register_handler(\"name\")` in any imported module.\n- **Important:** Handlers must be registered (imported) before starting workers.\n- If you define handlers in your own module, import them before running the worker or API.\n\n---\n\n## Advanced Usage\n\n### Scheduling & Periodic Jobs\n- Schedule jobs for the future or set as periodic (see API/handler docs for details).\n- Example:\n ```python\n backend.insert_job('{\"task\": \"future\"}', handler=\"mytask\", scheduled_for=datetime.datetime(2024, 12, 31, 12, 0, 0))\n ```\n\n### Retry Policies\n- Supported: `fixed`, `exponential`, `none` (set per job)\n- Example:\n ```python\n backend.insert_job('{\"task\": \"retry\"}', handler=\"mytask\", retry_policy=\"fixed\")\n ```\n\n### Monitoring\n- Prometheus metrics at `/monitor/metrics` (API) and via worker process\n\n---\n\n## Docker Usage\n\nBuild and run with Docker:\n```bash\ndocker build -t taskmq .\ndocker run --rm -p 8000:8000 taskmq serve-api\n```\n\nOr use docker-compose:\n```bash\ndocker-compose up\n```\n\n---\n\n## API Usage Example (Python)\n\n```python\nimport httpx\n\n# Add a job via API (requires JWT token)\nresponse = httpx.post(\n \"http://127.0.0.1:8000/add-job\",\n json={\"payload\": {\"task\": \"api\"}, \"handler\": \"dummy\"},\n headers={\"Authorization\": \"Bearer <your_token>\"}\n)\nprint(response.json())\n```\n\n---\n\n## Documentation\n\n- [Quickstart](docs/quickstart.md)\n- [Usage Guide](docs/usage.md)\n- [Writing Handlers](docs/handlers.md)\n- [API Reference](docs/api.md)\n- [Full Docs (mkdocs)](docs/index.md)\n\n---\n\n## Contributing\n\nPull requests and issues are welcome! See [CONTRIBUTING.md](docs/contributing.md) for guidelines.\n\n---\n",
"bugtrack_url": null,
"license": "Apache License\n Version 2.0, January 2004\n http://www.apache.org/licenses/\n \n TERMS AND CONDITIONS FOR USE, REPRODUCTION, AND DISTRIBUTION\n \n 1. Definitions.\n \n \"License\" shall mean the terms and conditions for use, reproduction,\n and distribution as defined by Sections 1 through 9 of this document.\n \n \"Licensor\" shall mean the copyright owner or entity authorized by\n the copyright owner that is granting the License.\n \n \"Legal Entity\" shall mean the union of the acting entity and all\n other entities that control, are controlled by, or are under common\n control with that entity. For the purposes of this definition,\n \"control\" means (i) the power, direct or indirect, to cause the\n direction or management of such entity, whether by contract or\n otherwise, or (ii) ownership of fifty percent (50%) or more of the\n outstanding shares, or (iii) beneficial ownership of such entity.\n \n \"You\" (or \"Your\") shall mean an individual or Legal Entity\n exercising permissions granted by this License.\n \n \"Source\" form shall mean the preferred form for making modifications,\n including but not limited to software source code, documentation\n source, and configuration files.\n \n \"Object\" form shall mean any form resulting from mechanical\n transformation or translation of a Source form, including but\n not limited to compiled object code, generated documentation,\n and conversions to other media types.\n \n \"Work\" shall mean the work of authorship, whether in Source or\n Object form, made available under the License, as indicated by a\n copyright notice that is included in or attached to the work\n (an example is provided in the Appendix below).\n \n \"Derivative Works\" shall mean any work, whether in Source or Object\n form, that is based on (or derived from) the Work and for which the\n editorial revisions, annotations, elaborations, or other modifications\n represent, as a whole, an original work of authorship. For the purposes\n of this License, Derivative Works shall not include works that remain\n separable from, or merely link (or bind by name) to the interfaces of,\n the Work and Derivative Works thereof.\n \n \"Contribution\" shall mean any work of authorship, including\n the original version of the Work and any modifications or additions\n to that Work or Derivative Works thereof, that is intentionally\n submitted to Licensor for inclusion in the Work by the copyright owner\n or by an individual or Legal Entity authorized to submit on behalf of\n the copyright owner. For the purposes of this definition, \"submitted\"\n means any form of electronic, verbal, or written communication sent\n to the Licensor or its representatives, including but not limited to\n communication on electronic mailing lists, source code control systems,\n and issue tracking systems that are managed by, or on behalf of, the\n Licensor for the purpose of discussing and improving the Work, but\n excluding communication that is conspicuously marked or otherwise\n designated in writing by the copyright owner as \"Not a Contribution.\"\n \n \"Contributor\" shall mean Licensor and any individual or Legal Entity\n on behalf of whom a Contribution has been received by Licensor and\n subsequently incorporated within the Work.\n \n 2. Grant of Copyright License. Subject to the terms and conditions of\n this License, each Contributor hereby grants to You a perpetual,\n worldwide, non-exclusive, no-charge, royalty-free, irrevocable\n copyright license to reproduce, prepare Derivative Works of,\n publicly display, publicly perform, sublicense, and distribute the\n Work and such Derivative Works in Source or Object form.\n \n 3. Grant of Patent License. Subject to the terms and conditions of\n this License, each Contributor hereby grants to You a perpetual,\n worldwide, non-exclusive, no-charge, royalty-free, irrevocable\n (except as stated in this section) patent license to make, have made,\n use, offer to sell, sell, import, and otherwise transfer the Work,\n where such license applies only to those patent claims licensable\n by such Contributor that are necessarily infringed by their\n Contribution(s) alone or by combination of their Contribution(s)\n with the Work to which such Contribution(s) was submitted. If You\n institute patent litigation against any entity (including a\n cross-claim or counterclaim in a lawsuit) alleging that the Work\n or a Contribution incorporated within the Work constitutes direct\n or contributory patent infringement, then any patent licenses\n granted to You under this License for that Work shall terminate\n as of the date such litigation is filed.\n \n 4. Redistribution. You may reproduce and distribute copies of the\n Work or Derivative Works thereof in any medium, with or without\n modifications, and in Source or Object form, provided that You\n meet the following conditions:\n \n (a) You must give any other recipients of the Work or\n Derivative Works a copy of this License; and\n \n (b) You must cause any modified files to carry prominent notices\n stating that You changed the files; and\n \n (c) You must retain, in the Source form of any Derivative Works\n that You distribute, all copyright, patent, trademark, and\n attribution notices from the Source form of the Work,\n excluding those notices that do not pertain to any part of\n the Derivative Works; and\n \n (d) If the Work includes a \"NOTICE\" text file as part of its\n distribution, then any Derivative Works that You distribute must\n include a readable copy of the attribution notices contained\n within such NOTICE file, excluding those notices that do not\n pertain to any part of the Derivative Works, in at least one\n of the following places: within a NOTICE text file distributed\n as part of the Derivative Works; within the Source form or\n documentation, if provided along with the Derivative Works; or,\n within a display generated by the Derivative Works, if and\n wherever such third-party notices normally appear. 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In no event and under no legal theory,\n whether in tort (including negligence), contract, or otherwise,\n unless required by applicable law (such as deliberate and grossly\n negligent acts) or agreed to in writing, shall any Contributor be\n liable to You for damages, including any direct, indirect, special,\n incidental, or consequential damages of any character arising as a\n result of this License or out of the use or inability to use the\n Work (including but not limited to damages for loss of goodwill,\n work stoppage, computer failure or malfunction, or any and all\n other commercial damages or losses), even if such Contributor\n has been advised of the possibility of such damages.\n \n 9. Accepting Warranty or Additional Liability. While redistributing\n the Work or Derivative Works thereof, You may choose to offer,\n and charge a fee for, acceptance of support, warranty, indemnity,\n or other liability obligations and/or rights consistent with this\n License. However, in accepting such obligations, You may act only\n on Your own behalf and on Your sole responsibility, not on behalf\n of any other Contributor, and only if You agree to indemnify,\n defend, and hold each Contributor harmless for any liability\n incurred by, or claims asserted against, such Contributor by reason\n of your accepting any such warranty or additional liability.\n \n END OF TERMS AND CONDITIONS\n \n APPENDIX: How to apply the Apache License to your work.\n \n To apply the Apache License to your work, attach the following\n boilerplate notice, with the fields enclosed by brackets \"[]\"\n replaced with your own identifying information. (Don't include\n the brackets!) The text should be enclosed in the appropriate\n comment syntax for the file format. We also recommend that a\n file or class name and description of purpose be included on the\n same \"printed page\" as the copyright notice for easier\n identification within third-party archives.\n \n Copyright [yyyy] [name of copyright owner]\n \n Licensed under the Apache License, Version 2.0 (the \"License\");\n you may not use this file except in compliance with the License.\n You may obtain a copy of the License at\n \n http://www.apache.org/licenses/LICENSE-2.0\n \n Unless required by applicable law or agreed to in writing, software\n distributed under the License is distributed on an \"AS IS\" BASIS,\n WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.\n See the License for the specific language governing permissions and\n limitations under the License.\n ",
"summary": "Modern, developer-friendly Python task queue and job processing framework with CLI, API, and pluggable storage backends for scalable background job processing.",
"version": "0.1.1",
"project_urls": {
"Changelog": "https://github.com/gvarun01/task-mq/releases",
"Documentation": "https://gvarun01.github.io/task-mq/",
"Homepage": "https://github.com/gvarun01/task-mq",
"Issue Tracker": "https://github.com/gvarun01/task-mq/issues",
"Repository": "https://github.com/gvarun01/task-mq"
},
"split_keywords": [
"task-queue",
" job-processing",
" background-jobs",
" worker",
" async",
" scheduler",
" cli",
" api",
" fastapi",
" prometheus",
" sqlite",
" redis"
],
"urls": [
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