Allow setting a specific number of words

.gitignore

@@ -1,7 +1,7 @@
 # Royalnet ignores
 config*.toml
 downloads/
-
+markov/
 
 # Python ignores
 **/__pycache__/

README.md

@@ -11,5 +11,6 @@ A [Royalnet](https://github.com/Steffo99/royalnet) pack to have fun with [Markov
    [Packs."markovpack"]
    Markov.models_directory = "markovpack"  # The name of the directory containing the .json files
    Markov.default_model = "example"  # The name of the .json file that should be parsed if no arguments are passed to the command 
+   Markov.min_words = 5  # The minimum number of words a sentence should have to be sent
    ```
-4. Start Royalnet and have fun!
+4. Start Royalnet with `python -m royalnet` and have fun!

markovpack/commands/markov.py

@@ -30,13 +30,18 @@ class MarkovCommand(Command):
         if self.interface.name != "telegram":
             raise UnsupportedError("[c]markov[/c] funziona solo su Telegram.")
         model_name = args.optional(0, self.config["Markov"]["default_model"])
+        while True:
             try:
                 sentence = self._texts[model_name].make_sentence()
             except KeyError:
-            models = "\n- ".join([model_name for model_name in self._texts])
+                models = []
+                for mn in self._texts:
+                    models.append(f"- [c]{mn}[/c]\n")
                 raise InvalidInputError("Il modello richiesto non esiste."
-                                    f"Modelli disponibili: {models}")
+                                        f"Modelli disponibili:\n{models}")
-        if sentence is None or sentence == "":
+            if sentence is None:
-            await data.reply(f"💭 Il bot ([c]{model_name}[/c])... non dice niente. Riprova!")
+                continue
-        else:
+            if len(sentence.split()) < self.config["Markov"]["min_words"]:
+                continue
+            break
         await data.reply(f'💬 Il bot ([c]{model_name}[/c]) dice:\n{sentence}')

markovpack/version.py

@@ -1 +1 @@
-semantic = "0.2.0"
+semantic = "0.3.0"

poetry.lock

@@ -253,6 +253,17 @@ sqlalchemy = ["sqlalchemy"]
 test = ["pytest-cov (>=2.6)", "pytest (>4.0)"]
 zmq = ["pyzmq"]
 
+[[package]]
+category = "main"
+description = "A simple, extensible Markov chain generator. Uses include generating random semi-plausible sentences based on an existing text."
+name = "markovify"
+optional = false
+python-versions = "*"
+version = "0.8.0"
+
+[package.dependencies]
+unidecode = "*"
+
 [[package]]
 category = "main"
 description = "A Python Matrix client library, designed according to sans I/O principles."
@@ -590,6 +601,14 @@ version = "2.0.0"
 [package.dependencies]
 pytz = "*"
 
+[[package]]
+category = "main"
+description = "ASCII transliterations of Unicode text"
+name = "unidecode"
+optional = false
+python-versions = ">=2.7, !=3.0.*, !=3.1.*, !=3.2.*, !=3.3.*"
+version = "1.1.1"
+
 [[package]]
 category = "main"
 description = "Unpadded Base64"
@@ -664,7 +683,7 @@ python-versions = "*"
 version = "2020.1.15"
 
 [metadata]
-content-hash = "e50984a2b35e6d1188ae58089db153a70de042d42e008ca6862331307f504f55"
+content-hash = "a4f472f93cfad2f414322d8d78d082a658bc57a2d7f74cfcd96e0f1c653185c5"
     python-versions = "^3.8"
 
 [metadata.files]
@@ -831,6 +850,9 @@ logbook = [
     {file = "Logbook-1.5.3-cp37-cp37m-win_amd64.whl", hash = "sha256:0cf2cdbfb65a03b5987d19109dacad13417809dcf697f66e1a7084fb21744ea9"},
     {file = "Logbook-1.5.3.tar.gz", hash = "sha256:66f454ada0f56eae43066f604a222b09893f98c1adc18df169710761b8f32fe8"},
 ]
+markovify = [
+    {file = "markovify-0.8.0.tar.gz", hash = "sha256:c533a2e1aba8148bb98031b7159e8bf1a276c61db53d2e882ecb74fa5603a4f4"},
+]
 matrix-nio = [
     {file = "matrix-nio-0.6.tar.gz", hash = "sha256:25a4ac9d5e1435035f5c5b6e9a6b453ac66ade25cb455ba6bbe9cc3ae1e0ef50"},
 ]
@@ -1033,6 +1055,10 @@ tzlocal = [
     {file = "tzlocal-2.0.0-py2.py3-none-any.whl", hash = "sha256:11c9f16e0a633b4b60e1eede97d8a46340d042e67b670b290ca526576e039048"},
     {file = "tzlocal-2.0.0.tar.gz", hash = "sha256:949b9dd5ba4be17190a80c0268167d7e6c92c62b30026cf9764caf3e308e5590"},
 ]
+unidecode = [
+    {file = "Unidecode-1.1.1-py2.py3-none-any.whl", hash = "sha256:1d7a042116536098d05d599ef2b8616759f02985c85b4fef50c78a5aaf10822a"},
+    {file = "Unidecode-1.1.1.tar.gz", hash = "sha256:2b6aab710c2a1647e928e36d69c21e76b453cd455f4e2621000e54b2a9b8cce8"},
+]
 unpaddedbase64 = [
     {file = "unpaddedbase64-1.1.0-py2-none-any.whl", hash = "sha256:8917367e4e915b7dce1a72a99db8798c9f3d0d9a74cdd9aafac6d7c65ca495c5"},
     {file = "unpaddedbase64-1.1.0-py2.py3-none-any.whl", hash = "sha256:81cb4eaaa28cc6a282dd3f2c3855eaa1fbaafa736b5ee64df69889e20540a339"},

pyproject.toml

@@ -3,7 +3,7 @@
 [tool.poetry]
     name = "markovpack"
     description = "A Royalnet pack to have fun with Markovify."
-    version = "0.2.0"
+    version = "0.3.0"
     authors = ["Stefano Pigozzi <ste.pigozzi@gmail.com>"]
     license = "AGPL-3.0+"
     homepage = "https://github.com/Steffo99/markovpack"