From f74f65750e683c89a9ea939b5c84a2842dda8106 Mon Sep 17 00:00:00 2001
From: Darmstadtium <aurelienvalentin3@gmail.com>
Date: Wed, 4 Jan 2023 21:19:27 +0100
Subject: [PATCH] Reformatting main.py

---
 main.py | 188 +++++++++++++++++++++++++++++++++++++-------------------
 1 file changed, 126 insertions(+), 62 deletions(-)

diff --git a/main.py b/main.py
index e1bc43b..7040c06 100644
--- a/main.py
+++ b/main.py
@@ -7,35 +7,45 @@ Aurélien VALENTIN - from 06/11/2022 to 29/12/2022
 ************************"""
 
 
-
 # Default parameters, feel free to change them as you want.
 
-NB_SPECIES = 100 # Number of species wanted by the user. Can't exceed 100 with the GBIF method.
+NB_SPECIES = (
+    50  # Number of species wanted by the user. Can't exceed 100 with the GBIF method.
+)
 
-LANGUAGE = "fr" # Please choose "fr" or "en" to get respectively French or English vernacular names.
+LANGUAGE = "fr"  # Please choose "fr" or "en" to get respectively French or English vernacular names.
 
-SPECIE_LIST_PATH_IF_GBIF_METHOD = "" # A csv file from https://identify.plantnet.org/prediction. Only if you've chosen the GBIF method.
+SPECIE_LIST_PATH_IF_GBIF_METHOD = ""  # A csv file from https://identify.plantnet.org/prediction. Only if you've chosen the GBIF method.
 
-MY_OWN_LIST_PATH = "" # A txt file with one specie by line. Be careful to write the scientific name used in Pl@ntNet and change NB_SPECIES if needed.
+MY_OWN_LIST_PATH = ""  # A txt file with one specie by line. Be careful to write the scientific name used in Pl@ntNet and change NB_SPECIES if needed.
 
+MAX_NB_OF_LINKS_BY_TYPE_AND_BY_SPECIES = 100  # The code will accumulate links of pictures of leaves, flower, fruits and barks of eache species.
+# The most photos you want, the most diversified your learning will be, but the longer it will take to load...
 
 
 # Importation and other initialisations
 import json, sys
-import genanki #https://github.com/kerrickstaley/genanki.git
+import genanki  # https://github.com/kerrickstaley/genanki.git
 from random import shuffle
 
 dict_common_plants = {}
-with open("_dict_species.json", "r") as fpi : dict_common_names = json.load(fpi) # From the 3-1 and 3-2 supplementary codes
+with open("_dict_species.json", "r") as fpi:
+    dict_common_names = json.load(fpi)  # From the 3-1 and 3-2 supplementary codes
 
 
 # Definition of the progressbar function, from https://gist.github.com/ChesterChowWOV/2b35c551b339adbf459363322aac5b4b
-def progressbar(it, prefix = "", size = 60, file = sys.stdout):
+def progressbar(it, prefix="", size=60, file=sys.stdout):
     count = len(it)
+
     def show(j):
-        x = int(size*j/count)
-        file.write("{}[{}{}] {}/{} {}%\r".format(prefix, "█"*x, "."*(size-x), j, count, round(j / count * 100, 2)))
+        x = int(size * j / count)
+        file.write(
+            "{}[{}{}] {}/{} {}%\r".format(
+                prefix, "█" * x, "." * (size - x), j, count, round(j / count * 100, 2)
+            )
+        )
         file.flush()
+
     show(0)
     for i, item in enumerate(it):
         yield item
@@ -51,7 +61,8 @@ Step 1 : Listing the most common species (if without a manual list or a GBIF fil
 if SPECIE_LIST_PATH_IF_GBIF_METHOD == MY_OWN_LIST_PATH:
     print("Listing the most common species")
     # Loading of the whole list
-    with open("_dict_species_by_rarety.json") as fpi : dict_plants_sorted = json.load(fpi) # From the first supplementary code
+    with open("_dict_species_by_rarety.json") as fpi:
+        dict_plants_sorted = json.load(fpi)  # From the first supplementary code
 
     # Writing of the user's list
     with open("Selected_species.txt", "w") as fpo:
@@ -65,35 +76,69 @@ Step 2 : Parsing data for each species.
 
 # Initialisation of the dictionary (and addition of the family) from a file from the step 1...
 if SPECIE_LIST_PATH_IF_GBIF_METHOD == "":
-    with open("_dict_classification.json", "r") as fpi : dict_classification = json.load(fpi) # From the second supplementary code
+    with open("_dict_classification.json", "r") as fpi:
+        dict_classification = json.load(fpi)  # From the second supplementary code
 
-    try: fpi = open(MY_OWN_LIST_PATH)
-    except : fpi = open("Selected_species.txt")
+    try:
+        fpi = open(MY_OWN_LIST_PATH)
+    except:
+        fpi = open("Selected_species.txt")
 
     for line in progressbar(fpi.readlines(), "Adding families", 40):
-            specie = line.split(" ")[0] + " " + line.split(" ")[1].lower().strip()
-            dict_common_plants[specie] = {"Occurrence": {"leaf": 0, "flower": 0, "fruit": 0, "bark": 0}}
-            try: dict_common_plants[specie]["Family"] = dict_classification[specie]
-            except: dict_common_plants[specie]["Family"] = "Family_not_found"
-            dict_common_plants[specie]["Links"] = {"leaf": "", "flower": "", "fruit": "", "bark": ""}
-            dict_common_plants[specie]["Authors"] = {"leaf": "", "flower": "", "fruit": "", "bark": ""}
+        specie = line.split(" ")[0] + " " + line.split(" ")[1].lower().strip()
+        dict_common_plants[specie] = {
+            "Occurrence": {"leaf": 0, "flower": 0, "fruit": 0, "bark": 0}
+        }
+        try:
+            dict_common_plants[specie]["Family"] = dict_classification[specie]
+        except:
+            dict_common_plants[specie]["Family"] = "Family not found"
+        dict_common_plants[specie]["Links"] = {
+            "leaf": "",
+            "flower": "",
+            "fruit": "",
+            "bark": "",
+        }
+        dict_common_plants[specie]["Authors"] = {
+            "leaf": "",
+            "flower": "",
+            "fruit": "",
+            "bark": "",
+        }
 
 # ...or from a GBIF file from here : https://identify.plantnet.org/prediction
 else:
     with open(SPECIE_LIST_PATH_IF_GBIF_METHOD) as fpi:
         fpi.readline()
         for line in progressbar(fpi.readlines(), "Adding families", 40):
-            specie = line.split(",")[1].split(" ")[0] + " " + line.split(",")[1].split(" ")[1]
-            dict_common_plants[specie] = {"Occurrence": {"leaf": 0, "flower": 0, "fruit": 0, "bark": 0}}
+            specie = (
+                line.split(",")[1].split(" ")[0]
+                + " "
+                + line.split(",")[1].split(" ")[1]
+            )
+            dict_common_plants[specie] = {
+                "Occurrence": {"leaf": 0, "flower": 0, "fruit": 0, "bark": 0}
+            }
             dict_common_plants[specie]["Family"] = line.split(",")[2]
-            dict_common_plants[specie]["Links"] = {"leaf": "", "flower": "", "fruit": "", "bark": ""}
-            dict_common_plants[specie]["Authors"] = {"leaf": "", "flower": "", "fruit": "", "bark": ""}
+            dict_common_plants[specie]["Links"] = {
+                "leaf": "",
+                "flower": "",
+                "fruit": "",
+                "bark": "",
+            }
+            dict_common_plants[specie]["Authors"] = {
+                "leaf": "",
+                "flower": "",
+                "fruit": "",
+                "bark": "",
+            }
 
 # Addition of vernacular name(s)
 for specie in progressbar(dict_common_plants.keys(), "Adding common names", 40):
     try:
         dict_common_plants[specie]["Common names"] = dict_common_names[specie][LANGUAGE]
-    except: dict_common_plants[specie]["Common names"] = "No common name found."
+    except:
+        dict_common_plants[specie]["Common names"] = "No common name found."
 
 # Addition of photo links and author names
 with open("multimedia.txt", encoding="utf-8") as fpi:
@@ -104,12 +149,20 @@ with open("multimedia.txt", encoding="utf-8") as fpi:
         link = line_split[3].strip(" ").split("o/")[1]
         type = line_split[5].split(":")[1].strip(" ")
         author = line_split[len(line_split) - 1].strip()
-        if specie in dict_common_plants.keys() and type in ["leaf", "flower", "fruit", "bark"]:
+        if specie in dict_common_plants.keys() and type in [
+            "leaf",
+            "flower",
+            "fruit",
+            "bark",
+        ]:
             if dict_common_plants[specie]["Occurrence"][type] == 0:
                 dict_common_plants[specie]["Links"][type] += link
                 dict_common_plants[specie]["Authors"][type] += author
                 dict_common_plants[specie]["Occurrence"][type] += 1
-            elif dict_common_plants[specie]["Occurrence"][type] < 101:
+            elif (
+                dict_common_plants[specie]["Occurrence"][type]
+                < MAX_NB_OF_LINKS_BY_TYPE_AND_BY_SPECIES + 1
+            ):
                 dict_common_plants[specie]["Links"][type] += "," + link
                 dict_common_plants[specie]["Authors"][type] += "," + author
                 dict_common_plants[specie]["Occurrence"][type] += 1
@@ -122,25 +175,25 @@ Step 3 : Generation of the Anki deck.
 print("Preparing the Anki deck")
 # Definition of the Anki card model
 my_model = genanki.Model(
-  1091735104,
-  'Model for AnkIdentification',
-  fields=[
-    {'name': 'Name'},
-    {'name': 'Common names'},
-    {'name': 'Family'},
-    {'name': 'Leaf'},
-    {'name': 'Flower'},
-    {'name': 'Fruit'},
-    {'name': 'Bark'},
-    {'name': 'Leaf authors'},
-    {'name': 'Flower authors'},
-    {'name': 'Fruit authors'},
-    {'name': 'Bark authors'}
-  ],
-  templates=[
-    {
-      'name': 'Card 1',
-      'qfmt': """<style>
+    1091735104,
+    "Model for AnkIdentification",
+    fields=[
+        {"name": "Name"},
+        {"name": "Common names"},
+        {"name": "Family"},
+        {"name": "Leaf"},
+        {"name": "Flower"},
+        {"name": "Fruit"},
+        {"name": "Bark"},
+        {"name": "Leaf authors"},
+        {"name": "Flower authors"},
+        {"name": "Fruit authors"},
+        {"name": "Bark authors"},
+    ],
+    templates=[
+        {
+            "name": "Card 1",
+            "qfmt": """<style>
 .card {
   font-family: arial;
   font-size: 20px;
@@ -316,7 +369,7 @@ prepImg("{{Flower}}","{{Flower authors}}",'Flower');
 prepImg("{{Fruit}}","{{Fruit authors}}",'Fruit');
 prepImg("{{Bark}}","{{Bark authors}}",'Bark');
 </script>""",
-      'afmt': """<div class="half">
+            "afmt": """<div class="half">
   <h1><i>{{Name}}</i></h1>
   <br>
   <b><i>{{Family}}</i></b>
@@ -324,17 +377,15 @@ prepImg("{{Bark}}","{{Bark authors}}",'Bark');
   {{Common names}}
 </div>
 {{FrontSide}}""",
-      'bfont': 'Arial'
-      #'Styles': ".card {\n font-family: arial;\n font-size: 20px;\n text-align: center;\n color: black;\n background-color: white;\n}"
-    },
-  ],
-  css='.card {\n font-family: arial;\n font-size: 20px;\n text-align: center;\n color: black;\n background-color: white;\n}\n',
+            "bfont": "Arial"
+            #'Styles': ".card {\n font-family: arial;\n font-size: 20px;\n text-align: center;\n color: black;\n background-color: white;\n}"
+        },
+    ],
+    css=".card {\n font-family: arial;\n font-size: 20px;\n text-align: center;\n color: black;\n background-color: white;\n}\n",
 )
 
 # Creation of the deck
-my_deck = genanki.Deck(
-  2059400110,
-  'AnkIdentifaction')
+my_deck = genanki.Deck(2059400110, "AnkIdentifaction")
 
 # Randomization of the species order
 species_shuffled = list(dict_common_plants.keys())
@@ -342,14 +393,27 @@ shuffle(species_shuffled)
 
 # Generation of all notes
 for specie in progressbar(species_shuffled, "Creating notes", 40):
-  dict_specie = dict_common_plants[specie]
-  my_note = genanki.Note(
-    model = my_model,
-    fields = [specie, dict_specie["Common names"], dict_specie["Family"], dict_specie["Links"]["leaf"], dict_specie["Links"]["flower"], dict_specie["Links"]["fruit"], dict_specie["Links"]["bark"], dict_specie["Authors"]["leaf"], dict_specie["Authors"]["flower"], dict_specie["Authors"]["fruit"], dict_specie["Authors"]["bark"]],
-    tags = ["AnkIdentification::" + dict_specie["Family"]])
-  my_deck.add_note(my_note)
+    dict_specie = dict_common_plants[specie]
+    my_note = genanki.Note(
+        model=my_model,
+        fields=[
+            specie,
+            dict_specie["Common names"],
+            dict_specie["Family"],
+            dict_specie["Links"]["leaf"],
+            dict_specie["Links"]["flower"],
+            dict_specie["Links"]["fruit"],
+            dict_specie["Links"]["bark"],
+            dict_specie["Authors"]["leaf"],
+            dict_specie["Authors"]["flower"],
+            dict_specie["Authors"]["fruit"],
+            dict_specie["Authors"]["bark"],
+        ],
+        tags=["AnkIdentification::" + dict_specie["Family"]],
+    )
+    my_deck.add_note(my_note)
 
 # Creation of the final file
 print("Almost done!")
-genanki.Package(my_deck).write_to_file('AnkIdentification.apkg')
+genanki.Package(my_deck).write_to_file("AnkIdentification.apkg")
 print("Enjoy ^^")