first finalized images

chatanalyzer/__main__.py

@@ -6,6 +6,7 @@ from datetime import datetime
 from participant import Participant
 import ftfy
 import analyzing
+import make_final
 
 
 def read_json(filename):
@@ -22,7 +23,7 @@ def main():
     participant_count = len(chat_data["participants"])
 
     for i in range(participant_count):
-        participants.append(Participant(chat_data["participants"][i]["name"]))
+        participants.append(Participant(chat_data["participants"][i]["name"], chat_data["title"], chat_data["thread_type"]))
 
     for f in file_list:
         chat_data = read_json(f)
@@ -46,6 +47,7 @@ def main():
 
     analyzing.make_wordcloud(WORDS_IN_CHAT)
     analyzing.make_timeline(participants)
+    make_final.assemble_image(participants)
 
 
 if __name__ == "__main__":

chatanalyzer/analyzing.py

@@ -8,6 +8,10 @@ import pandas as pd
 import plotly.express as px
 
 
+# For some reason PIL doesn't work with relative path so I have to use absolute paths
+RESOURCE_LOCATION = f"{path.abspath('Resources')}"
+
+
 def incidents_of_words(words):
     word_set = set(words)
     
@@ -51,11 +55,9 @@ def create_dataframe(participants):
 
 
 def make_wordcloud(WORDS_IN_CHAT):
-    # For some reason PIL doesn't work with relative path so I have to use absolute paths
-    resource_location = f"{path.abspath('Resources')}"
-    img_mask = np.array(Image.open(f"{resource_location}/mask.png"))
+    img_mask = np.array(Image.open(f"{RESOURCE_LOCATION}/mask.png"))
     wordcloud = WordCloud(width = 2000, height = 2000,
-                background_color = "white",
+                background_color = None,
                 mode="RGBA",
                 prefer_horizontal=1,
                 mask = img_mask,
@@ -72,24 +74,27 @@ def make_wordcloud(WORDS_IN_CHAT):
     plt.axis("off")
     plt.tight_layout(pad = 0)
  
-    wordcloud.to_file(f"{resource_location}/wordcloud.png")
+    wordcloud.to_file(f"{RESOURCE_LOCATION}/wordcloud.png")
 
 
 def make_timeline(participants):
     df = create_dataframe(participants)
 
     fig = px.line(df, x="month", y="counts", color="sender")
-    fig.update_layout({ "showlegend": True,
+    fig.update_layout({ "showlegend": False,
                         "title": {"text": "Timeline of Messages",
                                 "xanchor": "center",
-                                "x": 0.5},
+                                "x": 0.5,
+                                "font": {"color": "white"}},
                         "xaxis": {"showgrid": False,
-                                    "title": ""},
-                        "yaxis": {"gridcolor": "white",
+                                    "title": "",
+                                    "color": "white"},
+                        "yaxis": {"color": "white",
                                     "nticks": 2,
-                                    "title": ""},
+                                    "title": "",
+                                    "color": "white"},
                         "paper_bgcolor": 'rgba(0,0,0,0)',
                         "plot_bgcolor": 'rgba(0,0,0,0)'
                         })
 
-    fig.write_image("by-month.png",format="png", width=1500, height=600, scale=3)
+    fig.write_image(f"{RESOURCE_LOCATION}/timeline.png",format="png", width=1500, height=600, scale=3)

chatanalyzer/make_final.py

@@ -0,0 +1,63 @@
+from PIL import Image, ImageDraw, ImageFont
+from os import path
+
+
+RESOURCE_LOCATION = f"{path.abspath('Resources')}"
+
+
+def generate_images_from_text(x, y, txt):
+    fontsize = 1  # starting font size
+    img = Image.new('RGBA', (x, y), (0, 0, 0, 0))
+
+    # portion of image width you want text width to be
+    img_fraction = 0.80
+    fnt = ImageFont.truetype('/home/koma52/.fonts/Ubuntu.ttf', fontsize)
+
+    while fnt.getbbox(str(txt))[2] - fnt.getbbox(str(txt))[0] < img_fraction*img.size[0]:
+        # iterate until the text size is just larger than the criteria
+        fontsize += 1
+        fnt = ImageFont.truetype("/home/koma52/.fonts/Ubuntu.ttf", fontsize)
+
+    # optionally de-increment to be sure it is less than criteria
+    fontsize -= 1
+    fnt = ImageFont.truetype("/home/koma52/.fonts/Ubuntu.ttf", fontsize)
+
+    d = ImageDraw.Draw(img)
+    d.text((x/2,y/2), str(txt), font=fnt, fill=(255,255,255), anchor="mm")
+    # img.save(f'{RESOURCE_LOCATION}/name.png')
+    return img
+
+
+def assemble_image(participants, wordcloudimg="wordcloud.png", timelineimg="timeline.png"):
+    if participants[0].chat_type == "Regular":
+        names = []
+        for p in participants:
+            names.append(p.name)
+        name_txt = ' & '.join(names)
+    else:
+        name_txt = participants[0].title
+
+    names = generate_images_from_text(5000, 600, name_txt)
+    # names.save(f'{RESOURCE_LOCATION}/name.png')
+
+    number_of_messages = 0
+    for p in participants:
+        number_of_messages += len(p.messages)
+    
+    n_o_m = generate_images_from_text(750, 350, str(number_of_messages))
+    # n_o_m.save(f'{RESOURCE_LOCATION}/number_of_messages.png')
+    n_o_m_text = generate_images_from_text(750, 400, "TOTAL NUMBER OF MESSAGES")
+    # n_o_m_text.save(f'{RESOURCE_LOCATION}/number_of_messages_text.png')
+
+    final = Image.new('RGB', (5000, 8000), (0, 0, 0))
+    final.paste(names, (0, 0))
+    final.paste(n_o_m_text, (3250, 4400))
+    final.paste(n_o_m, (3250, 4750))
+    wordcloud = Image.open(f"{RESOURCE_LOCATION}/{wordcloudimg}")
+    final.paste(wordcloud, (1500, 600))
+    timeline = Image.open(f"{RESOURCE_LOCATION}/{timelineimg}")
+    final.paste(timeline, (250, 2600))
+
+
+    final.save(f"{RESOURCE_LOCATION}/final.png")
+

chatanalyzer/participant.py

@@ -8,9 +8,11 @@ def remove_punctuations(s):
 
 
 class Participant:
-    def __init__(self, name):
+    def __init__(self, name, title, chat_type):
         self.name = ftfy.ftfy(name)
         self.messages = {}
+        self.title = ftfy.ftfy(title)
+        self.chat_type = chat_type
     
     def add_message(self, timestamp, message):
         self.messages[str(datetime.fromtimestamp(timestamp/1000))] = ftfy.ftfy(message)