add Mini Primetime

data.py

@@ -71,3 +71,25 @@ single_speaker = {
 }
 
 assert set(single_speaker["Handbooker Helper"].keys()) == set(range(1, 44 + 1))
+
+series_data = [
+    {
+        "name": "Campaign 1",
+        "playlist_id": "PL1tiwbzkOjQz7D0l_eLJGAISVtcL7oRu_",
+    },
+    {
+        "name": "Campaign 2",
+        "playlist_id": "PL1tiwbzkOjQxD0jjAE7PsWoaCrs0EkBH2"
+
+    },
+    {
+        "name": "Handbooker Helper",
+        "playlist_id": "PL1tiwbzkOjQyr6-gqJ8r29j_rJkR49uDN",
+        "single_speaker": True
+    },
+    {
+        "name": "Mini Primetime",
+        "playlist_id": "PL1tiwbzkOjQz9kKDaPRPrX2E7RPTaxEZd",
+        "initial_speaker": "Will"
+    }
+]

fetch.py

@@ -8,26 +8,10 @@ from subprocess import run
 import youtube_dl
 from peewee import DoesNotExist
 
+from data import series_data
 from models import Episode, Series, Line, Phrase
 from utils import srtdir, pretty_title
 
-series_data = [
-    {
-        "name": "Campaign 1",
-        "playlist_id": "PL1tiwbzkOjQz7D0l_eLJGAISVtcL7oRu_",
-    },
-    {
-        "name": "Campaign 2",
-        "playlist_id": "PL1tiwbzkOjQxD0jjAE7PsWoaCrs0EkBH2"
-
-    },
-    {
-        "name": "Handbooker Helper",
-        "playlist_id": "PL1tiwbzkOjQyr6-gqJ8r29j_rJkR49uDN",
-        "single_speaker": True
-    }
-]
-
 
 def main():
     os.nice(15)
@@ -61,11 +45,10 @@ def main():
         regex = re.compile(r"Ep(?:is|si)ode (\d+)")
 
         for nr, video in enumerate(videos, 1):
-            # if Episode.select().where((Episode.season == campaign) & (Episode.video_number == nr)).count() == 1:
-            #     print(f"already imported {vttfile}")
-            #     continue
             try:
                 e = Episode.select().where((Episode.series == s) & (Episode.video_number == nr)).get()
+                if e.downloaded:
+                    continue
             except DoesNotExist:
                 e = Episode()
                 e.series = s

phrases.py

@@ -47,7 +47,7 @@ for episode in Episode.select().where((Episode.phrases_imported == False) & (Epi
             if noun_chunk in lemma_cache:
                 lemmas = lemma_cache[noun_chunk]
             else:
-                lemmas = "|".join([token.lemma_ for token in nlp(noun_chunk)])
+                lemmas = "|".join([token.lemma_ for token in nlp(noun_chunk)]).lower()
                 lemma_cache[noun_chunk] = lemmas
             if lemmas not in nouns:
                 nouns[lemmas] = {

web/src/interfaces.ts

@@ -28,7 +28,7 @@ export interface Line {
   "starttime": number;
   "endtime": number;
   "text": string;
-  "person": Person;
+  "person": Person | null;
   "episode": Episode;
 }
 

web/src/views/Home.vue

@@ -247,7 +247,10 @@ export default Vue.extend({
       } else if (line.isnote) {
         return "purple";
       }
-      return line.person.color;
+      if (line.person) {
+        return line.person.color;
+      }
+      return "white";
     },
     doYtOptIn() {
       this.showYtOptIn = false;