Sps25 add speaker slides (#103)

* wip

* mv out from 24

* wip slides content

* improve recordings so empty video url also does not link

* add talk recording (no slides, no video)

* add medi.ccc playlist

* add first slides

* add news to homepage

* add lightning talks

* imporve filenames, news

* rm year from project

* fix/enable secondary color and btn

* mv video from title link next to [slides]

* rename talk-recordings to recordings

* add and optimize recording page

* fix remove pdf because is it no always a pdf

* add "casual ml" slides

* mark program as past

Author: turbotimon

README.md

@@ -4,16 +4,18 @@
 import re
 import shutil
 
-FILE_DIR = Path("scripts/recordings/sps24")
-assert FILE_DIR.exists(), "FILE_DIR does not exist"
+# START Change these two
+CONF_YEAR_SLUG = "25"
+# END
 
-CSV_PATH = FILE_DIR / "talks.csv"
+BASE_DIR = Path(f"scripts/recordings/sps{CONF_YEAR_SLUG}")
+CONF_SHORT = f"SPS{CONF_YEAR_SLUG}"
+CONF_YEAR = f"20{CONF_YEAR_SLUG}"
+CSV_PATH = BASE_DIR / "talks.csv"
 
+assert BASE_DIR.exists(), "BASE_DIR does not exist"
+assert CSV_PATH.exists(), "CSV_PATH not found"
 
-CONF_SHORT = "SPS24"
-CONF_YEAR = "2024"
-
-OUTPUT_FOLDER = Path("scripts/recordings/out")
 
 def get_data(csv_path, filter_type=["Talk", "Keynote", "Lightning Talks (9x5min)"]):
     df = pd.read_csv(csv_path)
@@ -22,28 +24,27 @@ def get_data(csv_path, filter_type=["Talk", "Keynote", "Lightning Talks (9x5min)
     return df
 
 def create_file_structure(df: pd.DataFrame):
-    # if OUTPUT_FOLDER.exists():
-    #     shutil.rmtree(OUTPUT_FOLDER)
-    OUTPUT_FOLDER.mkdir(exist_ok=False)
+    out_dir = BASE_DIR / "content"
+    out_dir.mkdir(exist_ok=False) # Warn user if it exists
     for i, row in df.iterrows():
-        filename = Path(OUTPUT_FOLDER / row.filename)
+        filename = Path(out_dir / row.filename)
         filename.mkdir()
         content = filename / "contents.lr"
-        content.write_text(create_content(i, row))
+        content.write_text(create_content(row))
         slide = filename / f"{filename.name}.pdf.lr"
         slide.write_text("type: slides")
 
-def create_content(i, row):
+def create_content(row):
     text = f'''
 _model: recording
 ---
 title: {row.title}
 ---
-ordering: {i}
+ordering: {row.talk_idx}
 ---
 speaker: {row.names_combined}
 ---
-video_url: {row.video_url}
+video_url: {row.video_url if row.video_url != "<VIDEO_URL>" else ""}
 ---
 year: {CONF_YEAR} - Day {row.day}
 '''

scripts/recordings/README.md

@@ -1,16 +1,29 @@
+'''
+Script to convert pretalx schedule.json to a CSV file.
+It can be used to easy copy the data to Youtube upload forms and name the slides pdf properly.
+'''
+
 import pandas as pd
 from pathlib import Path
 import json
 import re
 from datetime import datetime
+from textwrap import dedent
+
+# START Change these two
+CONF_YEAR_SLUG = "25"
+# END
 
-FILE_DIR = Path("scripts/recordings/sps24")
-assert FILE_DIR.exists(), "FILE_DIR does not exist"
+BASE_DIR = Path(f"scripts/recordings/sps{CONF_YEAR_SLUG}")
+CONF_SHORT = f"SPS{CONF_YEAR_SLUG}"
+CONF_YEAR = f"20{CONF_YEAR_SLUG}"
 
-CSV_PATH = FILE_DIR / "talks.csv"
-PRETALX_SCHEDULE_PATH = FILE_DIR / "schedule.json"
 
-CONF_SHORT = "SPS24"
+assert BASE_DIR.exists(), "FILE_DIR does not exist"
+
+PRETALX_SCHEDULE_PATH = BASE_DIR / "schedule.json"
+CSV_PATH = BASE_DIR / "talks.csv"
+
 
 def get_talks_data(schedule_path = PRETALX_SCHEDULE_PATH):
     schedule_data = json.loads(schedule_path.read_text())
@@ -19,11 +32,12 @@ def get_talks_data(schedule_path = PRETALX_SCHEDULE_PATH):
         day_idx = day["index"]
         print(f"Processing day {day_idx}")
         room_name = next(iter(day["rooms"]))
-        for talk in day["rooms"][room_name]:
-            print(f"\tProcessing talks #{talk['id']}")
+        for i, talk in enumerate(day["rooms"][room_name]):
+            print(f"\tProcessing talk #{talk['id']}")
             names, bios = zip(*[(d["public_name"], d["biography"] if d["biography"] else "") for d in talk["persons"]])
             talk_data = dict(
                 day = day_idx,
+                talk_idx = i,
                 date = talk["date"],
                 title = talk["title"],
                 type = talk["type"],
@@ -54,15 +68,15 @@ def enrich(talks):
         named_title = f'{names} - {talk["title"]}'
         talk["named_title"] = named_title
         talk["video_title"] = f"{named_title} - {CONF_SHORT}"
-        filename = clean_filename(f"{CONF_SHORT}_{named_title}")
+        filename = clean_filename(f"{CONF_SHORT}_{talk['day']}-{talk['talk_idx']:02d}_{named_title}")
         talk["filename"] = filename
-        talk["video_url"] = "<TODO>"
+        talk["video_url"] = "<VIDEO_URL>" # fill in manually later when the video is uploaded
         talk["biographies_combined"] = "\n\n".join(talk["biographies_raw"])
         talk["date_str"] = talk["date"]
         # Title and Description for youtube
         talk["video_text"] = f'{talk["names_combined"]} – {talk["title"]} – {CONF_SHORT}'
-        talk["video_text"] = f'''Talk recorded at the Swiss Python Summit on {timestring(talk["date"])}.
-
+        talk["video_text"] = f'''
+Talk recorded at the Swiss Python Summit on {timestring(talk["date"])}.
 Licensed as Creative Commons Attribution 4.0 International.
 
 ---------
@@ -74,7 +88,7 @@ def enrich(talks):
 About the speaker(s):
 
 {talk["biographies_combined"]}
-'''
+'''.lstrip()
     return talks
 
 def clean_filename(filename, max_length=70):
@@ -122,7 +136,7 @@ def main():
     df = pd.DataFrame(data)
     df.to_csv(CSV_PATH)
     short_csv_path = CSV_PATH.parent / (CSV_PATH.stem + "_notext" + CSV_PATH.suffix)
-    # print(short_csv_path)
+    print("CSV saved to:", CSV_PATH)
     # drop multiline texts
     df.drop(["abstract","biographies_raw", "biographies_combined", "video_text"], axis=1).to_csv(short_csv_path)