Conditional requirements.txt, including all dependencies

doc/0.getting_started.md

@@ -34,18 +34,16 @@ 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. 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`.
+3. Init a configuration file: `python -m flatisfy init-config > config.json`.
    Edit it according to your needs (see below).
-5. Build the required data files:
+4. Build the required data files:
    `python -m flatisfy build-data --config config.json`.
-6. You can now run `python -m flatisfy import --config config.json` to fetch
+5. 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:
+6. Install JS libraries and build the webapp:
    `npm install && npm run build:dev` (use `build:prod` in production).
-8. Use `python -m flatisfy serve --config config.json` to serve the web app.
+7. 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
 instructions on the [NodeJS website](https://nodejs.org/en/) to install latest

docker/Dockerfile

@@ -31,7 +31,6 @@ RUN cd /home/user \
     && git clone https://git.phyks.me/Phyks/flatisfy/ ./app \
     && cd ./app \
     && pip install -r requirements.txt \
-    && pip install functools32 \
     && npm install \
     && npm run build:prod
 

requirements.txt

@@ -1,10 +1,11 @@
 appdirs
 arrow
-backports.csv
+backports.csv; python_version < '3.0'
 bottle
 bottle-sqlalchemy
 canister
-enum34
+enum34; python_version < '3.4'
+functools32; python_version < '3.2.3'
 future
 imagehash
 pillow