phyks/flatisfy
1
0
Fork 0
Code Issues Pull Requests Projects Releases Wiki Activity

Update doc according to @nicofrand's suggestions

Browse Source
This commit is contained in:
Lucas Verney 2018-01-08 14:49:03 +01:00
parent 219b8e156e
commit 083caec041
1 changed files with 16 additions and 8 deletions
Show Stats Download Patch File Download Diff File Expand all files Collapse all files

24
doc/0.getting_started.md
View File

@ -34,21 +34,29 @@ An alternative method is available using Docker. See [2.docker.md](2.docker.md).
1. Clone the repository.
2. Install required Python modules: `pip install -r requirements.txt`.
3. Init a configuration file: `python -m flatisfy init-config > config.json`.
3. If you are running Flatisfy with Python 2, you should also `pip install
functools32`.
4. Init a configuration file: `python -m flatisfy init-config > config.json`.
Edit it according to your needs (see below).
4. Build the required data files:
5. Build the required data files:
`python -m flatisfy build-data --config config.json`.
5. Use it to `fetch` (and output a filtered JSON list of flats) or `import`
(into an SQLite database, for the web visualization) a list of flats
matching your criteria.
6. Install JS libraries and build the webapp:
6. You can now run `python -m flatisfy import --config config.json` to fetch
available flats, filter them and import everything in a SQLite database,
usable with the web visualization.
7. Install JS libraries and build the webapp:
`npm install && npm run build:dev` (use `build:prod` in production).
7. Use `python -m flatisfy serve --config config.json` to serve the web app.
8. Use `python -m flatisfy serve --config config.json` to serve the web app.
Note: `Flatisfy` requires an up-to-date Node version. You can find
_Note_: `Flatisfy` requires an up-to-date Node version. You can find
instructions on the [NodeJS website](https://nodejs.org/en/) to install latest
LTS version.
_Note_: Alternatively, you can `python -m flatisfy fetch --config config.json`
to fetch available flats, filter them and output them as a filtered JSON list
(the web visualization will not be able to display them). This is mainly
useful if you plan in integrating Flatisfy in your own pipeline.
## Available commands