2017-04-25 15:58:06 +02:00
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Getting started
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===============
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2017-04-27 11:41:51 +02:00
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**Important**: Flatisfy relies on [Weboob](http://weboob.org/) to fetch
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housing posts from housing websites. Then, you should install the [`devel`
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branch](https://git.weboob.org/weboob/devel/) and update it regularly,
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especially if Flatisfy suddenly stops fetching housing posts.
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**Note**: For the moment, it requires [this MR on
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Weboob](https://git.weboob.org/weboob/devel/merge_requests/31) which has not
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yet been merged.
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2017-04-25 15:58:06 +02:00
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## TL;DR
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1. Clone the repository.
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2. Install required Python modules: `pip install -r requirements.txt`.
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3. Init a configuration file: `python -m flatisfy init-config > config.json`.
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Edit it according to your needs (see below).
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4. Build the required data files:
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`python -m flatisfy build-data --config config.json`.
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5. Use it to `fetch` (and output a filtered JSON list of flats) or `import`
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(into an SQLite database, for the web visualization) a list of flats
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matching your criteria.
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6. Install JS libraries and build the webapp:
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`npm install && npm run build:dev` (use `build:prod` in production).
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7. Use `python -m flatisfy serve --config config.json` to serve the web app.
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## Available commands
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The available commands are:
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* `init-config` to generate an empty configuration file, either on the `stdin`
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or in the specified file.
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2017-04-27 16:37:39 +02:00
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* `build-data` to rebuild OpenData datasets.
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2017-04-25 15:58:06 +02:00
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* `fetch` to load and filter housings posts and output a JSON dump.
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2017-04-27 16:37:39 +02:00
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* `filter` to filter again the flats in the database (and update their status)
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according to changes in config. It can also filter a previously fetched list
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of housings posts, provided as a JSON dump (with a `--input` argument).
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2017-04-25 15:58:06 +02:00
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* `import` to import and filter housing posts into the database.
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* `serve` to serve the built-in webapp with the development server. Do not use
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in production.
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2017-06-14 10:46:38 +02:00
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### Common arguments
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You can pass some command-line arguments to Flatisfy commands, common to all the available commands. These are
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* `--help`/`-h` to get some help message about the current command.
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* `--data-dir DIR` to overload the `data_directory` value from config.
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* `--config CONFIG` to use the config file located at `CONFIG`.
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* `--passes [0, 1, 2, 3]` to overload the `passes` value from config.
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* `--max-entries N` to overload the `max_entries` value from config.
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* `-v` to enable verbose output.
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* `-vv` to enable debug output.
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2017-04-25 15:58:06 +02:00
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## Configuration
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List of configuration options:
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* `data_directory` is the directory in which you want data files to be stored.
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`null` is the default value and means default `XDG` location (typically
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`~/.local/share/flatisfy/`)
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* `max_entries` is the maximum number of entries to fetch.
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* `passes` is the number of passes to run on the data. First pass is a basic
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filtering and using only the informations from the housings list page.
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Second pass loads any possible information about the filtered flats and does
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better filtering.
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* `database` is an SQLAlchemy URI to a database file. Defaults to `null` which
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means that it will store the database in the default location, in
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`data_directory`.
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* `navitia_api_key` is an API token for [Navitia](https://www.navitia.io/)
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which is required to compute travel times.
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* `modules_path` is the path to the Weboob modules. It can be `None` if you
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want Weboob to use the locally pip-installed modules (default value).
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* `port` is the port on which the development webserver should be
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listening (default to `8080`).
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* `host` is the host on which the development webserver should be listening
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(default to `127.0.0.1`).
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* `webserver` is a server to use instead of the default Bottle built-in
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webserver, see [Bottle deployment
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doc](http://bottlepy.org/docs/dev/deployment.html).
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2017-04-27 17:08:10 +02:00
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* `backends` is a list of Weboob backends to enable. It defaults to any
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available and supported Weboob backend.
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2017-04-25 15:58:06 +02:00
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_Note:_ In production, you can either use the `serve` command with a reliable
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webserver instead of the default Bottle webserver (specifying a `webserver`
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value) or use the `wsgi.py` script at the root of the repository to use WSGI.
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### Constraints
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You should specify some constraints to filter the resulting housings list,
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under the `constraints` key. The available constraints are:
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* `type` is the type of housing you want, either `RENT` (to rent), `SALE` (to
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buy) or `SHARING` (for a shared housing).
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* `housing_types` is a list of house types you are looking for. Values can be
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`APART` (flat), `HOUSE`, `PARKING`, `LAND`, `OTHER` (everything else) or
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`UNKNOWN` (anything which was not matched with one of the previous
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categories).
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* `area` (in m²), `bedrooms`, `cost` (in currency unit), `rooms`: this is a
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tuple of `(min, max)` values, defining an interval in which the value should
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lie. A `null` value means that any value is within this bound.
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* `postal_codes` is a list of postal codes. You should include any postal code
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you want, and especially the postal codes close to the precise location you
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want.
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* `time_to` is a dictionary of places to compute travel time to them.
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Typically,
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```
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"time_to": {
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"foobar": {
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"gps": [LAT, LNG],
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"time": [min, max]
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}
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}
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```
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means that the housings must be between the `min` and `max` bounds (possibly
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`null`) from the place identified by the GPS coordinates `LAT` and `LNG`
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(latitude and longitude), and we call this place `foobar` in human-readable
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form. Beware that `time` constraints are in **seconds**.
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2017-06-16 16:56:59 +02:00
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You can think of constraints as "a set of criterias to filter out flats". You
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can specify as many constraints as you want, in the configuration file,
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provided that you name each of them uniquely.
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Note that it is mandatory to keep a constraint called `default`, which will be
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the default constraint use for refiltering flats already imported with a
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constraint that you deleted after the import.
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2017-04-25 15:58:06 +02:00
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## Building the web assets
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If you want to build the web assets, you can use `npm run build:dev`
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(respectively `npm run watch:dev` to build continuously and monitor changes in
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source files). You can use `npm run build:prod` (`npm run watch:prod`) to do
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the same in production mode (with minification etc).
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