#!/usr/bin/env python3 """Hook video for the Durgam Cheruvu series (ManaNagaram desk). Renders 1920x1080 "paper" editorial frames with Pillow, narrates each scene with edge-tts, renders one mp4 per scene (slow zoom), concatenates, done. """ import json import os import subprocess BASE = "/home/workspace/ManaNagaram/video/durgam-cheruvu-hook" W, H = 1920, 1080 FPS = 30 VOICE = "en-IN-PrabhatNeural" PAPER = (251, 250, 247) INK = (22, 21, 15) MUTED = (109, 103, 94) TEAL = (11, 110, 95) OCHRE = (168, 85, 10) RED = (179, 38, 30) RULE = (230, 225, 216) F_BLACK = "/usr/share/fonts/opentype/inter/Inter-Black.otf" F_BOLD = "/usr/share/fonts/opentype/inter/Inter-Bold.otf" F_SEMI = "/usr/share/fonts/opentype/inter/Inter-SemiBold.otf" F_MED = "/usr/share/fonts/opentype/inter/Inter-Medium.otf" F_REG = "/usr/share/fonts/opentype/inter/Inter-Regular.otf" F_TE = "/usr/share/fonts/truetype/noto/NotoSansTelugu-Bold.ttf" from PIL import Image, ImageDraw, ImageFont SCENES = [ { "id": "s1", "kicker": "DURGAM CHERUVU · MADHAPUR · HYDERABAD", "headline": [("You have driven", INK), ("past this lake.", INK)], "unit": "Between Madhapur, Jubilee Hills and Raidurg — the lake the cable bridge crosses.", "body": ["Four hundred years ago it supplied drinking water to Golconda Fort.", "Today it sits in the middle of the city's tech corridor."], "foot": "start here — chapter 01", "narration": "Durgam Cheruvu — in the middle of Hyderabad's IT corridor, four hundred years old. Under the Qutb Shahis, it supplied the drinking water for Golconda Fort."}, { "id": "s2", "kicker": "WHAT YOU ARE ACTUALLY LOOKING AT", "headline": [("It is not a pond.", INK)], "unit": "A cheruvu is an engineered tank — a bund, a sluice, a surplus weir, and a catchment it was sized for.", "body": ["That one fact explains almost every lake dispute in this city.", "The shoreline is not the lake. The slopes above it are."], "foot": "our framing — see chapter 01", "narration": "It is not a pond. A cheruvu is an engineered tank: a bund, a sluice, and a catchment it was sized for. Its health is decided uphill, not at the shoreline."}, { "id": "s3", "kicker": "AUGUST 2026", "headline": [("₹2,833", TEAL), ("crore", INK)], "unit": "two plots, about 300 m from the water — a record rate for Hyderabad", "body": ["Sold at e-auction by the state's own infrastructure corporation.", "Ten point six three acres, carved out of a single survey number."], "foot": "official claim — TGIIC e-auction result", "narration": "Now the number. In August twenty twenty-six, two plots about three hundred metres from the water sold for two thousand eight hundred and thirty-three crore rupees. A record for this city."}, { "id": "s4", "kicker": "THE PARCELS", "headline": [("10.63 acres", INK)], "unit": "Survey No. 83/1, Raidurg Panmaktha · plots P1 and P2", "stats": [("₹266.53 cr", "per acre realised"), ("₹175 cr", "per acre reserve set")], "body": ["TGIIC — the Telangana State Industrial Infrastructure Corporation."], "foot": "official claim — auction brochure", "narration": "Ten point six three acres, out of Survey Number Eighty-three by one, at Raidurg Panmaktha. Two hundred and sixty-six crore rupees an acre, against a reserve of one seventy-five."}, { "id": "s5", "kicker": "AND IT IS NOT EVEN CLEANLY OWNED", "headline": [("Six claimants.", INK)], "unit": "One survey number. One 2007 judgment that recorded them all.", "chips": ["TGIIC", "State Bank of India", "Jamia Nizamia (Waqf claim)", "DLF (allotment resumed)", "Co-operative housing society", "2007 judgment"], "foot": "court finding — see chapter 04", "narration": "But that survey number is not cleanly owned. Six parties claim an interest: the state's infrastructure corporation, the State Bank of India, a Waqf claim from Jamia Nizamia, DLF, a co-operative housing society — and a two thousand seven judgment that recorded them all."}, { "id": "s6", "kicker": "WHAT ELSE IS ON THAT GROUND", "headline": [("2.5 billion", OCHRE), ("years old", INK)], "unit": "Listed under G.O. Ms. No. 4 of 2003 · Society to Save Rocks precinct", "body": ["The auction went ahead anyway. No stay is recorded against it."], "foot": "our inference — no stay recorded against the auction", "narration": "The ground is older still. These rocks are two and a half billion years old, listed under a Government Order from two thousand three. The auction went ahead anyway."}, { "id": "s7", "kicker": "MEANWHILE, THE LAKE ITSELF", "headline": [("2.7 mg/l", RED)], "unit": "dissolved oxygen — fish need 5.0", "bar": True, "body": ["August 2026: mass fish deaths. Two treatment plants running beyond capacity.", "Untreated sewage discharge stated on the record by officials."], "foot": "official claim — TGPCB / irrigation officials", "narration": "And the lake itself is failing. Dissolved oxygen: two point seven milligrams per litre. Fish need five. In August, fish died here in thousands."}, { "id": "s8", "kicker": "ONE CORRECTION, BECAUSE IT GETS REPEATED", "headline": [("Not a notified", RED), ("Biodiversity Heritage Site", INK)], "unit": "Ameenpur Lake — notified 4 November 2016 — is Telangana's only one.", "body": ["Durgam Cheruvu is reported as a site in contention. No notification followed.", "If you repeat the claim, this is where it goes wrong."], "foot": "court finding — Biological Diversity Act, s.41", "narration": "One correction, because it gets repeated everywhere. Durgam Cheruvu is not a notified Biodiversity Heritage Site. Ameenpur Lake, twenty sixteen, is Telangana's only one."}, { "id": "s9", "kicker": "మన నగరం · MANANAGARAM", "headline": [("Thirteen chapters.", TEAL)], "unit": "Every figure labelled: official · court · activist · inference.", "body": ["Every chapter links its sources, so you can check it yourself.", "cashlessconsumer.zo.space/durgam-cheruvu"], "foot": "Hyderabad civic-rights desk", "narration": "Thirteen chapters. Every figure labelled by what kind of claim it is. The whole story, sourced, at Mana Nagaram dot cashless consumer dot zo dot space."}, ] def font(path, size): return ImageFont.truetype(path, size) def wrap(draw, text, fnt, max_w): words, lines, cur = text.split(), [], "" for w in words: t = (cur + " " + w).strip() if draw.textlength(t, font=fnt) <= max_w: cur = t else: if cur: lines.append(cur) cur = w if cur: lines.append(cur) return lines SS = 2 # supersample factor for crisp downscaled text def render(scene, out_png): w, h = W * SS, H * SS img = Image.new("RGB", (w, h), PAPER) d = ImageDraw.Draw(img) M = 120 * SS # margin # top rule + kicker d.line([(M, 92 * SS), (w - M, 92 * SS)], fill=RULE, width=2 * SS) d.text((M, 118 * SS), scene["kicker"], font=font(F_BOLD, 26 * SS), fill=TEAL) # Telugu wordmark top-right te = "మన నగరం" d.text((w - M - d.textlength(te, font=font(F_TE, 30 * SS)), 112 * SS), te, font=font(F_TE, 30 * SS), fill=MUTED) y = 250 * SS # headline for text, color in scene["headline"]: fnt = font(F_BLACK, (128 if len(text) < 16 else 104) * SS) d.text((M, y), text, font=fnt, fill=color) y += int(fnt.size * 1.02) y += 40 * SS # unit line f_unit = font(F_MED, 40 * SS) for ln in wrap(d, scene["unit"], f_unit, w - 2 * M - 200 * SS): d.text((M, y), ln, font=f_unit, fill=MUTED) y += 54 * SS y += 26 * SS # stats row for label, sub in scene.get("stats", []): f1, f2 = font(F_BOLD, 60 * SS), font(F_REG, 28 * SS) d.text((M, y), label, font=f1, fill=INK) d.text((M + d.textlength(label, font=f1) + 24 * SS, y + 28 * SS), sub, font=f2, fill=MUTED) y += 90 * SS # bar for the DO scene if scene.get("bar"): bx0, bx1, by = M, M + 980 * SS, y + 10 * SS d.rounded_rectangle([bx0, by, bx1, by + 26 * SS], radius=13 * SS, fill=(238, 233, 226)) d.rounded_rectangle([bx0, by, bx0 + int((bx1 - bx0) * 2.7 / 5.0), by + 26 * SS], radius=13 * SS, fill=RED) d.line([(bx0 + int((bx1 - bx0) * 5.0 / 5.0), by - 10 * SS), (bx0 + int((bx1 - bx0) * 5.0 / 5.0), by + 36 * SS)], fill=INK, width=3 * SS) d.text((bx1 + 24 * SS, by - 4 * SS), "5.0 = healthy", font=font(F_MED, 26 * SS), fill=MUTED) y += 80 * SS # chips chips = scene.get("chips", []) if chips: f_chip = font(F_SEMI, 28 * SS) cx, cy = M, y + 6 * SS for c in chips: wd = int(d.textlength(c, font=f_chip)) + 56 * SS if cx + wd > w - M: cx, cy = M, cy + 78 * SS d.rounded_rectangle([cx, cy, cx + wd, cy + 58 * SS], radius=29 * SS, outline=TEAL, width=2 * SS) d.text((cx + 28 * SS, cy + 14 * SS), c, font=f_chip, fill=INK) cx += wd + 20 * SS y = cy + 90 * SS # body lines f_body = font(F_REG, 34 * SS) for para in scene.get("body", []): for ln in wrap(d, para, f_body, w - 2 * M - 260 * SS): d.text((M, y), ln, font=f_body, fill=INK) y += 48 * SS y += 14 * SS # footer f_foot = font(F_MED, 24 * SS) d.line([(M, h - 116 * SS), (w - M, h - 116 * SS)], fill=RULE, width=2 * SS) d.text((M, h - 92 * SS), scene["foot"], font=f_foot, fill=MUTED) right = "Durgam Cheruvu, from zero" d.text((w - M - d.textlength(right, font=f_foot), h - 92 * SS), right, font=f_foot, fill=TEAL) img.save(out_png) def sh(cmd): r = subprocess.run(cmd, capture_output=True, text=True) if r.returncode != 0: raise SystemExit(f"FAILED: {' '.join(cmd)}\n{r.stderr[-2000:]}") return r def duration(path): r = sh(["ffprobe", "-v", "quiet", "-show_entries", "format=duration", "-of", "csv=p=0", path]) return float(r.stdout.strip()) def main(): audio_dir = os.path.join(BASE, "audio") rd = os.path.join(BASE, "renders") os.makedirs(rd, exist_ok=True) parts = [] for i, sc in enumerate(SCENES, 1): png = os.path.join(rd, f"{sc['id']}.png") mp3 = os.path.join(audio_dir, f"{sc['id']}.mp3") render(sc, png) sh(["edge-tts", "--voice", VOICE, "--rate=+8%", "--text", sc["narration"], "--write-media", mp3]) dur = duration(mp3) + 0.45 frames = int(dur * FPS) out = os.path.join(rd, f"{sc['id']}.mp4") sh([ "ffmpeg", "-y", "-framerate", str(FPS), "-loop", "1", "-t", f"{dur:.3f}", "-i", png, "-i", mp3, "-filter_complex", f"[0:v]zoompan=z='min(zoom+0.00035,1.055)':x='iw/2-(iw/zoom/2)':y='ih/2-(ih/zoom/2)':" f"d=1:s={W * SS}x{H * SS}:fps={FPS},scale={W}:{H}:flags=lanczos,format=yuv420p[v];" f"[1:a]apad,aresample=48000[a]", "-map", "[v]", "-map", "[a]", "-t", f"{dur:.3f}", "-c:v", "libx264", "-preset", "medium", "-crf", "20", "-c:a", "aac", "-b:a", "160k", "-movflags", "+faststart", out, ]) print(f" {sc['id']}: {dur:.1f}s -> {out}") parts.append(out) with open(os.path.join(BASE, "concat_list.txt"), "w") as f: for p in parts: f.write(f"file '{p}'\n") final = os.path.join(BASE, "durgam-cheruvu-hook.mp4") sh(["ffmpeg", "-y", "-f", "concat", "-safe", "0", "-i", os.path.join(BASE, "concat_list.txt"), "-c", "copy", "-movflags", "+faststart", final]) print(f"\nFINAL: {final} {duration(final):.1f}s") if __name__ == "__main__": main()