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https://github.com/msmart/hreports

A simple wrapper to create and manage reports based on hledger queries.
https://github.com/msmart/hreports

accounting cli finance hledger python

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A simple wrapper to create and manage reports based on hledger queries.

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========
hreports
========

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A simple wrapper to create and manage reports based on hledger queries.

* Free software: MIT license
* Documentation: https://hreports.readthedocs.io.

Features
--------

hreports saves shortcuts to hledger queries to conveniently manage multiple
queries with different settings and ledger files. In addition, hreports can save
the query output to pdfs with jinja templates using Pandoc.

* Conveniently create and manage multiple heldger queries
* Customize the representation of hledger query results with templates
* Save report results in pdf format
* Parametrize queries
* Use case: generate invoices with a single command, e.g. ``hreports save
invoice_client1``
* Use case: Manage tax reports, e.g. ``hreports show tax_2017``

Quickstart
----------
Ensure that hledger_ is installed. If you want to save generate pdf reports
pandoc_ (>=1.16) and a PDF engine such as wkhtml2pdf_ need to be installed as well. Ensure to use the patched version wkthmltopdf to ensure
https://github.com/wkhtmltopdf/wkhtmltopdf/issues/2037

Use pip to install hreports::

$ pip install hreports

The starting point of running hledger queries is having a ledger to run queries
against. Imagine following simple hlegder file::

$ cat cash-account.ledger
1917/12/14 * Income
assets:cash 10 USD
income:client1

1917/12/12 * Expense
assets:cash 5 USD
expense:milk

and a hledger timesheet::

$ cat timesheet.ledger
1917/12/14 * Time
(consulting:clien1) 1

The following command creates a report named `balance` that executes the query
`hledger bal --depth 1` on the ledger `cash.ledger`::

$ hreports create balance --query "bal --depth 1" --ledger cash.ledger

When executed, hreports stores the query data in a config file for future
reference. Now hreports can render the query by running::

$ hreports show balance
5 USD assets
--------------------
5 USD

This makes it easy to store many different queries on different ledger files
and executing them by refering to their hreports name.

Templating
^^^^^^^^^^
Sometimes, it is helpful to add context to query results. hreports uses jinja
templates to customize the representation of reports. The query results are
added to the `output` variabel in the context of the template. In addition,
the report configuration data, global configuration and custom variables
are added.

Imagine the folowing simple template::

$ cat balance.template
The balance on {{ now }} the balance was

{{ output|last }}

hreports can now use this template to embed query results::

$ hreports show balance --template balance.template
The balance on 2017-12-15 15:39:11.519658 was:

5 USD

If you need this information for future reference, create a pdf of it by
executing::

$ hreports save balance --template balance.template
Saved balance.pdf

If you keep reusing this command, simply your life by updating the report::

$ hreports update balance --template balance.template

Now hreports will always use the `balance.template` when rendering the balance
report.

Templating is also helpful when you use hledger for timetracking and
invoicing. Create a hreport and a simple demo template. Add a custom
variable name ("hourly_rate") and value ("20") with the `-var` option::

$ hreports create timesheet --ledger timesheet.ledger -q "bal" -var hourly_rate 20 --template invoice.template

$ cat invoice.template
{% set hours = output|last|float|round(2) %}
{% set net = hours * hourly_rate|float %}
Please pay me {{ net }} USD.
Signed {{ now|datetime("%Y/%m/%d") }}

$ hreports show timesheet
Please pay me 20.0 USD.
Signed on 2017/12/15

Admittedly, this is a somewhat simple example. But feel free to check out
`heldger edit --template invoice_de.template` for a fully fledged template of a
German invoice.

Finally, all report configuration data is stored in a simple YAML file which
can be manipulated manually if preferred. To inspect and manipulated the
config file run::

$ hreports edit

Roadmap
---------
* Add documentation
* Add tests

Credits
---------
[ ~ Dependencies scanned by PyUp.io ~ ]

This package was created with Cookiecutter_ and the
`audreyr/cookiecutter-pypackage`_ project template.

.. _hledger: https://hledger.org
.. _pandoc: https://pandoc.org
.. _wkhtml2pdf: https://wkhtmltopdf.org
.. _Cookiecutter: https://github.com/audreyr/cookiecutter
.. _`audreyr/cookiecutter-pypackage`: https://github.com/audreyr/cookiecutter-pypackage