faqtory


Namefaqtory JSON
Version 1.1.3 PyPI version JSON
download
home_page
SummaryAuto FAQ builder
upload_time2024-01-31 12:35:51
maintainer
docs_urlNone
authorWill McGugan
requires_python>=3.8,<4.0
licenseMIT
keywords
VCS
bugtrack_url
requirements No requirements were recorded.
Travis-CI No Travis.
coveralls test coverage No coveralls.
            # FAQtory

FAQtory is a tool to auto-generate a [FAQ.md](./FAQ.md) (Frequently Asked Questions) document for your project.

Additionally, a "suggest" feature uses fuzzy matching to reply to GitHub issues with suggestions from your FAQ.

## Getting started

Faqtory is best installed via [pipx](https://github.com/pypa/pipx) to avoid any dependency conflicts:

```bash
pipx install faqtory
```

Run the following from the directory you wish to store the FAQ document. 

```bash
faqtory init
```

This will create the following files and directories:

- `faq.yml` A configuration file which you can edit.
- `./.faq/` A directory which will contain templates.
- `./questions/` A directory containing question documents.

## Adding questions

To add questions create a file with the extension `.question.md` in the questions directory (`./questions/` if you are using the defaults).

Question documents are Markdown with front-matter. Here's an example:

```yml
---
title: "What does FAQ stand for?"
alt_titles:
  - "What is the meaning of FAQ?"
  - "What does FAQ mean?"
---

FAQ stands for *Frequently Asked Questions*
```

The filename is unimportant, but a `title` is mandatory. You can also optionally add alternative titles under `alt_titles` which will be used with the `faqtory suggest` feature (but not displayed).

## Building

Run the following command to build the FAQ:

```bash
faqtory build
```

With the default settings this will generate an [FAQ.md](./FAQ.md) file.


## Suggest

The "suggest" subcommand can compile a list of FAQ entries that match a supplied issue title. Here's an example:

```bash
faqtory suggest "who is the author of FAQtory?"
```

This will generate a list of matching entries from the FAQ, and write Markdown to stdout. You can modify the output with the "suggest.md" template, which you will find in your ".faq/" directory (if you haven't configured it elsewhere),

This feature is designed to be used with a GitHub action to post an automated response. To enable this feature, copy [new_issue.yml](https://github.com/willmcgugan/faqtory/blob/main/.github/workflows/new_issue.yml) to a similarly named directory in your repository.


## Disclaimer

This was a hastily put together tool by a maintainer that was tired of responding to the same old issues. I can't devote much time to this project, but I will happily accept PRs!

            

Raw data

            {
    "_id": null,
    "home_page": "",
    "name": "faqtory",
    "maintainer": "",
    "docs_url": null,
    "requires_python": ">=3.8,<4.0",
    "maintainer_email": "",
    "keywords": "",
    "author": "Will McGugan",
    "author_email": "willmcgugan@gmail.com",
    "download_url": "https://files.pythonhosted.org/packages/51/b4/02695d5b202d17a471cb19478cd2534a7a3a094611d8240cdcf067c8bf8f/faqtory-1.1.3.tar.gz",
    "platform": null,
    "description": "# FAQtory\n\nFAQtory is a tool to auto-generate a [FAQ.md](./FAQ.md) (Frequently Asked Questions) document for your project.\n\nAdditionally, a \"suggest\" feature uses fuzzy matching to reply to GitHub issues with suggestions from your FAQ.\n\n## Getting started\n\nFaqtory is best installed via [pipx](https://github.com/pypa/pipx) to avoid any dependency conflicts:\n\n```bash\npipx install faqtory\n```\n\nRun the following from the directory you wish to store the FAQ document. \n\n```bash\nfaqtory init\n```\n\nThis will create the following files and directories:\n\n- `faq.yml` A configuration file which you can edit.\n- `./.faq/` A directory which will contain templates.\n- `./questions/` A directory containing question documents.\n\n## Adding questions\n\nTo add questions create a file with the extension `.question.md` in the questions directory (`./questions/` if you are using the defaults).\n\nQuestion documents are Markdown with front-matter. Here's an example:\n\n```yml\n---\ntitle: \"What does FAQ stand for?\"\nalt_titles:\n  - \"What is the meaning of FAQ?\"\n  - \"What does FAQ mean?\"\n---\n\nFAQ stands for *Frequently Asked Questions*\n```\n\nThe filename is unimportant, but a `title` is mandatory. You can also optionally add alternative titles under `alt_titles` which will be used with the `faqtory suggest` feature (but not displayed).\n\n## Building\n\nRun the following command to build the FAQ:\n\n```bash\nfaqtory build\n```\n\nWith the default settings this will generate an [FAQ.md](./FAQ.md) file.\n\n\n## Suggest\n\nThe \"suggest\" subcommand can compile a list of FAQ entries that match a supplied issue title. Here's an example:\n\n```bash\nfaqtory suggest \"who is the author of FAQtory?\"\n```\n\nThis will generate a list of matching entries from the FAQ, and write Markdown to stdout. You can modify the output with the \"suggest.md\" template, which you will find in your \".faq/\" directory (if you haven't configured it elsewhere),\n\nThis feature is designed to be used with a GitHub action to post an automated response. To enable this feature, copy [new_issue.yml](https://github.com/willmcgugan/faqtory/blob/main/.github/workflows/new_issue.yml) to a similarly named directory in your repository.\n\n\n## Disclaimer\n\nThis was a hastily put together tool by a maintainer that was tired of responding to the same old issues. I can't devote much time to this project, but I will happily accept PRs!\n",
    "bugtrack_url": null,
    "license": "MIT",
    "summary": "Auto FAQ builder",
    "version": "1.1.3",
    "project_urls": null,
    "split_keywords": [],
    "urls": [
        {
            "comment_text": "",
            "digests": {
                "blake2b_256": "320554a59e3b3fd2cef581468a64a9c3aa950b945890d3bd02aba80ed5bcc64a",
                "md5": "11a4d683f71b6becbb98976a2296dcc8",
                "sha256": "391c56338334697b9c73b8e463d6b255e23c88d0f5966beff6ddb06f656af665"
            },
            "downloads": -1,
            "filename": "faqtory-1.1.3-py3-none-any.whl",
            "has_sig": false,
            "md5_digest": "11a4d683f71b6becbb98976a2296dcc8",
            "packagetype": "bdist_wheel",
            "python_version": "py3",
            "requires_python": ">=3.8,<4.0",
            "size": 7438,
            "upload_time": "2024-01-31T12:35:50",
            "upload_time_iso_8601": "2024-01-31T12:35:50.170710Z",
            "url": "https://files.pythonhosted.org/packages/32/05/54a59e3b3fd2cef581468a64a9c3aa950b945890d3bd02aba80ed5bcc64a/faqtory-1.1.3-py3-none-any.whl",
            "yanked": false,
            "yanked_reason": null
        },
        {
            "comment_text": "",
            "digests": {
                "blake2b_256": "51b402695d5b202d17a471cb19478cd2534a7a3a094611d8240cdcf067c8bf8f",
                "md5": "7f0f441e764abf18b4d53dc6b0ebf858",
                "sha256": "fd8686668e946d371d8cdc4dd43ef861b4018a3cd12314aa7a0fa768805f388a"
            },
            "downloads": -1,
            "filename": "faqtory-1.1.3.tar.gz",
            "has_sig": false,
            "md5_digest": "7f0f441e764abf18b4d53dc6b0ebf858",
            "packagetype": "sdist",
            "python_version": "source",
            "requires_python": ">=3.8,<4.0",
            "size": 5929,
            "upload_time": "2024-01-31T12:35:51",
            "upload_time_iso_8601": "2024-01-31T12:35:51.950590Z",
            "url": "https://files.pythonhosted.org/packages/51/b4/02695d5b202d17a471cb19478cd2534a7a3a094611d8240cdcf067c8bf8f/faqtory-1.1.3.tar.gz",
            "yanked": false,
            "yanked_reason": null
        }
    ],
    "upload_time": "2024-01-31 12:35:51",
    "github": false,
    "gitlab": false,
    "bitbucket": false,
    "codeberg": false,
    "lcname": "faqtory"
}
        
Elapsed time: 0.21460s