"""
app_core.py
-----------
Функция generate_video(text) → абсолютный путь к готовому MP4.
❗ Промпты PROMPT_JSON и DETAILED_PROMPT скопированы без изменений
из вашего исходного ноутбука.
"""
# ── стандартные ───────────────────────────────────────────────
import os, json, textwrap, subprocess, tempfile
from pathlib import Path
from datetime import datetime
# ── сторонние ─────────────────────────────────────────────────
from openai import OpenAI # openai-python ≥1.33.0
from pydub import AudioSegment
from playwright.sync_api import sync_playwright
# ── Playwright браузер (скачиваем только один раз) ────────────
_pw_flag = Path("/tmp/.pw_chrom_installed")
if not _pw_flag.exists():
subprocess.run(["playwright", "install", "chromium"], check=True)
_pw_flag.touch()
# ── OpenAI client (ключ берётся из секрета) ───────────────────
client = OpenAI(api_key=os.getenv("OPENAI_API_KEY"))
# ─────────────────── PROMPT_JSON ────────────────────────────
PROMPT_JSON = textwrap.dedent(r"""
You are a presentation-outliner.
The user needs VALID json only — no extra commentary. (json!)
✦ Rules
0. Total slides ≤ 10 (including the title slide).
• If the source text is longer, merge or summarise content to stay within 10 slides.
1. First slide MUST be type "title":
{ "slide_idx":1, "type":"title", "title":"…", "body":"" }
(body may stay empty)
2. Prefer **"list"** whenever possible.
• Break sentences into concise bullet-points.
• Use "text" only when the content truly cannot be listed.
Allowed types:
"list" – array, ≤ 5 items ← _default choice_
"text" – short paragraph
"quote" – short quotation or bold statement
"code" – code block, copy verbatim from ``` fences
3. Preserve every ``` … ``` code block unchanged.
4. Return this exact schema:
{
"slides":[
{ "slide_idx":N, "type":"…", "title":"…", "body":… },
… // ≤ 9 more objects after the title slide
]
}
Output the json only.
""").strip()
# ───────────────── DETAILED_PROMPT ──────────────────────────
DETAILED_PROMPT = textwrap.dedent(r"""
You are a friendly, motivational voice-over writer.
The user needs VALID json only — no extra commentary. (json!)
Source:
• "raw_text" — full original article
• "slides" — list of slide dictionaries (title, type, body)
Task for EACH slide in order:
• Write **at least two sentences** (≈ 25–60 words total).
• Use the slide’s visible content **and** extra context from raw_text.
• Keep a welcoming tone: encourage, explain, or add a useful tip.
• Mention code or quote briefly (“In this code snippet you’ll see …”).
• First slide → start with a warm greeting + slide title.
• Last slide → quick recap + short friendly goodbye.
Output exactly:
{ "narration":[ { "slide_idx":N, "voice_text":"..." }, … ] }
""").strip()
# ────────────────── вспомогательные функции ─────────────────
def text_to_outline(raw: str) -> list:
rsp = client.chat.completions.create(
model="gpt-4o",
temperature=0.3,
response_format={"type":"json_object"},
messages=[
{"role":"system","content":PROMPT_JSON},
{"role":"user", "content":raw}
]
)
return json.loads(rsp.choices[0].message.content)["slides"]
def make_narration(raw: str, slides: list) -> list:
rsp = client.chat.completions.create(
model="gpt-4o",
temperature=0.7,
response_format={"type":"json_object"},
messages=[
{"role":"system","content":DETAILED_PROMPT},
{"role":"user", "content":json.dumps(
{"raw_text":raw,"slides":slides}, ensure_ascii=False)}
]
)
return json.loads(rsp.choices[0].message.content)["narration"]
def build_html(slide: dict) -> str:
import html as _h
t, body = slide["type"], slide["body"]
title = _h.escape(slide["title"])
if t=="title":
cont=f"