معرفی شرکت ها
bear-note-graph-0.1.9
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مشاهده بیشتر
تبلیغات ما
مشتریان به طور فزاینده ای آنلاین هستند. تبلیغات می تواند به آنها کمک کند تا کسب و کار شما را پیدا کنند.
مشاهده بیشتر
تبلیغات ما
مشتریان به طور فزاینده ای آنلاین هستند. تبلیغات می تواند به آنها کمک کند تا کسب و کار شما را پیدا کنند.
مشاهده بیشتر
تبلیغات ما
مشتریان به طور فزاینده ای آنلاین هستند. تبلیغات می تواند به آنها کمک کند تا کسب و کار شما را پیدا کنند.
مشاهده بیشتر
تبلیغات ما
مشتریان به طور فزاینده ای آنلاین هستند. تبلیغات می تواند به آنها کمک کند تا کسب و کار شما را پیدا کنند.
مشاهده بیشترتوضیحات
Generate a graphviz visualisation of your Bear notes. It also has a partial Markdown parser, because why not
| ویژگی | مقدار |
|---|---|
| سیستم عامل | - |
| نام فایل | bear-note-graph-0.1.9 |
| نام | bear-note-graph |
| نسخه کتابخانه | 0.1.9 |
| نگهدارنده | [] |
| ایمیل نگهدارنده | [] |
| نویسنده | Ruben Berenguel |
| ایمیل نویسنده | ruben+poetry@mostlymaths.net |
| آدرس صفحه اصلی | https://github.com/rberenguel/bear-note-graph |
| آدرس اینترنتی | https://pypi.org/project/bear-note-graph/ |
| مجوز | MIT |
# Bear-note-graph 🐻🐍
[](https://badge.fury.io/py/bear-note-graph)
_Note_: Still WIP, not as thoroughly tested as I would have liked
This is a simple CLI to generate a [Graphviz](https://www.graphviz.org/doc/info/attrs.html)-powered graph of your notes in [Bear](https://bear.app/).
## Example
This is an example in PNG format, with the flag `--anonymise`, which you can use in case you want to show your own graph but avoid showing the titles of your notes `¯\﹍(ツ)﹍/¯`
<a href="https://github.com/rberenguel/bear-note-graph/raw/master/resources/bear_graph.png" target="_blank"><img src="https://raw.githubusercontent.com/rberenguel/bear-note-graph/master/resources/bear_graph.png" alt="Example graph" width="800"></a>
If you use the default output (PDF) you will get clickable links to notes and tags (BUT ONLY ON iOS, Preview for Mac does not open app links). I recommend you copy your graph to iCloud if you want clicking. You can see an example of the PDF <a href="resources/bear_graph.pdf" target="_blank">here</a> (although it is anonymised as well).
## Installation
You need an environment with at least Python 3.7, and
```bash
pip install bear-note-graph
```
## Installing graphviz
To generate the graph, the `sfdp` command from Graphviz needs to be available, and for some settings (like, if you want to change overlap modes) you may need to reinstall to add `gts`. For this, you should have [homebrew](https://brew.sh) available.
```bash
brew uninstall graphviz --ignore-dependencies
brew install gts
brew install graphviz
```
## Usage
```
usage: bear-note-graph [-h] [--config [config]] [--dump-config]
[--dump-palette] [--anonymise] [--only-tags]
[--only-notes] [--debug]
bear-note-graph generates a Graphviz graph of your Bear notes
optional arguments:
-h, --help show this help message and exit
--config [config] Configuration file to use. Use --dump-config-file to get
a sample
--dump-config Print the default configuration file and exit
--dump-palette Print the default palette file and exit
--anonymise Mangle the tags and link names preserving 'look'
--only-tags Show only tag links
--only-notes Show only note links
--debug Set logging to debug level
```
You just need to run `bear-note-graph` after installing, by default everything will be output in `/tmp/`.
## Configuration file
This is straight from the defaults
```yaml
graph:
anonymise: False # Make the output anonymous
max_label_length: 50 # Max length to show of the notes/tags
include_only_tags: "" # Generate graph only for these tags (comma separated)
exclude_titles: "readings,> " # Skip all notes with titles containing this (comma separated)
exclude_tags: "journal,@" # Skip all tags containing this (comma separated)
show_tag_edges: True # Whether to show tags and the linking between tags and notes
show_note_edges: True # Whether to show note edges
prune: False # Remove all notes with no tags (useful for include_only)
overlap: False # Overlap mode for nodes in the graph
sep: "+90,90" # Margins around nodes
splines: True # Whether to use splines for the arrows
bgcolor: "solarized-dark.base02" # Background colour for the graph
free_form: "K=0.9" # Any additional parameters to Graphviz
tmp: "/tmp" # Temporary folder for the copy of the Bear SQLite database
destination: "/tmp/bear_graph" # Default destination for the Graphviz result
output_format: "pdf" # Format of the output graphviz (only useful if run_graphviz is set)
run_graphviz: "sfdp" # Algorithm to run automatically sfdp or neato recommended
tag:
shape: "folder" # Shape
style: "rounded,filled" # Style
fill_color: "solarized-dark.yellow" # Fill
strike_color: "solarized-dark.orange" # Stroke
free_form: ""
note:
shape: "note"
style: "filled"
fill_color: "solarized-dark.cyan"
strike_color: "solarized-dark.blue"
free_form: ""
tag_link:
strike_color: "solarized-dark.magenta"
arrowhead: "none" # Arrowhead
free_form: "penwidth=\"2.5\"" # You can add any additional parameters
note_link:
strike_color: "solarized-dark.green"
arrowhead: "normal"
free_form: "penwidth=\"2.5\""
custom_palette_here: # You can inline palettes here
screaming_color: "#AAAAAA" # You can inline palettes here
```
Most of the configuration parameters are for Graphviz, so check them in their [documentation](https://www.graphviz.org/doc/info/attrs.html).
## The Markdown parsing
In case you are curious, I wrote a custom [Markdown parser](bear_note_graph/parser). Because, why not, and I wanted to play with parser combinators. It is not as thoroughly tested as I would like, and it also has issues with blank spaces around the nodes, but for the purpose I wanted it, it works.
## The anonymisation
This is just so I can show my own graph without showing the tags or note titles. It's based on a relatively good hashing algorithm, and does some tweaking to make it look "realistic".
نیازمندی
| مقدار | نام |
|---|---|
| >=4.1.0,<5.0.0 | colorlog |
| >=5.3,<6.0 | pyyaml |
زبان مورد نیاز
| مقدار | نام |
|---|---|
| >=3.7,<4.0 | Python |
نحوه نصب
نصب پکیج whl bear-note-graph-0.1.9:
pip install bear-note-graph-0.1.9.whl
نصب پکیج tar.gz bear-note-graph-0.1.9:
pip install bear-note-graph-0.1.9.tar.gz