Files
OSINT-Cheat-sheet/Script/SOCMINT-Twitter/archive.py
T

261 lines
9.5 KiB
Python

import json
import os
import random
import threading
import time
from datetime import datetime
from pathlib import Path
import requests
ARCHIVE_ROOT = Path(__file__).parent / "archives"
DELAY_MIN = 1.5 # seconds between media downloads (anti-ban)
DELAY_MAX = 3.5
REQUEST_TIMEOUT = 25
_registry: dict[str, dict] = {} # archive_id → status dict
_lock = threading.Lock()
# ── Helpers ───────────────────────────────────────────────────────────────────
def _make_id(tool_type: str) -> str:
return f"{tool_type}_{datetime.now().strftime('%Y%m%d_%H%M%S')}"
def build_tweet_url(item: dict) -> str | None:
"""Not prefixed private — app.py reuses this so a live result and its
later archive always compute the identical tweet_url, instead of two
separate copies of the same logic drifting apart."""
tid = str(item.get("id", "")).strip()
user = str(item.get("user", "")).strip()
if tid and user:
return f"https://x.com/{user}/status/{tid}"
return None
def _extract_media(item: dict) -> list[dict]:
"""Same normalization the frontend's extractMedia() applies for card
display. Cookie mode already returns [{type, thumb, url}] under `media`.
xquik/API mode instead carries raw Twitter API shape under
entities.media / extended_entities.media, which needs unpacking first —
otherwise xquik-sourced photos/videos never enter the download queue below."""
media = item.get("media")
if isinstance(media, list) and media and isinstance(media[0], dict) \
and ("thumb" in media[0] or "url" in media[0]):
return media
src = None
ext_ent = item.get("extended_entities")
if isinstance(ext_ent, dict):
src = ext_ent.get("media")
if not isinstance(src, list):
ent = item.get("entities")
if isinstance(ent, dict):
src = ent.get("media")
if not isinstance(src, list):
return []
result = []
for m in src:
if not isinstance(m, dict):
continue
mtype = m.get("type", "photo")
thumb = m.get("media_url_https") or m.get("media_url") or ""
if not thumb:
continue
url = thumb
if mtype in ("video", "animated_gif"):
variants = ((m.get("video_info") or {}).get("variants")) or []
mp4s = [v for v in variants if isinstance(v, dict) and v.get("content_type") == "video/mp4"]
if mp4s:
url = max(mp4s, key=lambda v: v.get("bitrate", 0) or 0).get("url", thumb)
result.append({"type": mtype, "thumb": thumb, "url": url})
return result
def _media_ext(url: str, mtype: str) -> str:
if mtype in ("video", "animated_gif"):
return "mp4"
for ext in (".jpg", ".jpeg", ".png", ".webp", ".gif"):
if ext in url.lower():
return ext.lstrip(".")
return "jpg"
def _download_file(url: str, dest: Path) -> bool:
"""Download a single file. Returns True on success."""
try:
r = requests.get(
url,
timeout=REQUEST_TIMEOUT,
headers={"Referer": "https://x.com/", "User-Agent": "Mozilla/5.0 (Windows NT 10.0; Win64; x64) AppleWebKit/537.36 (KHTML, like Gecko) Chrome/42.0.2311.135 Safari/537.36 Edge/12.10240"},
stream=True,
)
r.raise_for_status()
dest.parent.mkdir(parents=True, exist_ok=True)
with open(dest, "wb") as f:
for chunk in r.iter_content(chunk_size=65536):
f.write(chunk)
return True
except Exception:
return False
# ── Core archive runner (runs in background thread) ───────────────────────────
def _run(archive_id: str, tool_type: str, data, query_info: dict) -> None:
archive_dir = ARCHIVE_ROOT / archive_id
media_dir = archive_dir / "media"
archive_dir.mkdir(parents=True, exist_ok=True)
media_dir.mkdir(exist_ok=True)
items = data if isinstance(data, list) else [data]
# Build enriched records + collect media download queue
enriched = []
media_queue = [] # list of (url, dest_path)
for item in items:
if not isinstance(item, dict):
enriched.append(item)
continue
# Archive the item's full raw shape (every field the source API gave
# us), not a whitelisted subset — downstream sentiment analysis needs
# the raw record, not just the fields the card UI happens to display.
record = dict(item)
record["tweet_url"] = item.get("tweet_url") or build_tweet_url(item)
local_media = []
for midx, m in enumerate(_extract_media(item)):
url = m.get("url") or m.get("thumb", "")
if not url:
continue
mtype = m.get("type", "photo")
ext = _media_ext(url, mtype)
fname = f"{item.get('id', 'unknown')}_{mtype}_{midx}.{ext}"
dest = media_dir / fname
local_media.append(f"media/{fname}")
# Skip re-downloading media that's already on disk — matters for
# checkpoint updates, which re-run this on a growing dataset that
# mostly overlaps with what was already archived.
if not dest.exists():
media_queue.append((url, dest))
if local_media:
record["archived_media"] = local_media
enriched.append(record)
# Preserve the original archived_at across checkpoint updates (re-runs
# of this on an archive_id that already exists) rather than overwriting it.
meta_path = archive_dir / "meta.json"
existing_meta = {}
if meta_path.exists():
try:
existing_meta = json.loads(meta_path.read_text())
except Exception:
existing_meta = {}
now_iso = datetime.now().isoformat(timespec="seconds")
total_media = sum(len(r.get("archived_media", [])) for r in enriched if isinstance(r, dict))
# Write metadata + results immediately (no waiting on media)
meta = {
"tool": tool_type,
"query": query_info,
"archived_at": existing_meta.get("archived_at", now_iso),
"updated_at": now_iso,
"total_items": len(items),
"media_count": total_media,
}
meta_path.write_text(
json.dumps(meta, indent=2, ensure_ascii=False)
)
(archive_dir / "results.json").write_text(
json.dumps(enriched, indent=2, ensure_ascii=False)
)
with _lock:
_registry[archive_id].update({"status": "downloading", "total": len(media_queue)})
# Download media one-by-one with anti-ban delays
for i, (url, dest) in enumerate(media_queue):
if i > 0:
time.sleep(random.uniform(DELAY_MIN, DELAY_MAX))
_download_file(url, dest)
with _lock:
_registry[archive_id]["progress"] = i + 1
with _lock:
_registry[archive_id].update({"status": "done", "path": str(archive_dir)})
# ── Public API ────────────────────────────────────────────────────────────────
def start(tool_type: str, data, query_info: dict) -> str:
"""Kick off archiving in a background thread. Returns archive_id."""
archive_id = _make_id(tool_type)
with _lock:
_registry[archive_id] = {"status": "saving", "progress": 0, "total": 0, "path": None}
t = threading.Thread(
target=_run,
args=(archive_id, tool_type, data, query_info),
daemon=True,
)
t.start()
return archive_id
def update(archive_id: str, tool_type: str, data, query_info: dict) -> bool:
"""Re-run the archive pipeline against an EXISTING archive_id — the
"save checkpoint" flow, used once scroll/expand-load-more has fetched
more data than what was first archived. Overwrites results.json/meta.json
with the current (larger) dataset; media already on disk is skipped
rather than re-downloaded. Returns False if archive_id doesn't exist."""
archive_dir = ARCHIVE_ROOT / archive_id
if not archive_dir.exists():
return False
with _lock:
_registry[archive_id] = {"status": "saving", "progress": 0, "total": 0, "path": None}
t = threading.Thread(
target=_run,
args=(archive_id, tool_type, data, query_info),
daemon=True,
)
t.start()
return True
def status(archive_id: str) -> dict | None:
with _lock:
entry = _registry.get(archive_id)
return dict(entry) if entry else None
def list_all() -> list[dict]:
"""Read meta.json from every archive folder, newest first — sorted by the
archive's own archived_at/updated_at timestamp, not folder name. Folder
names are prefixed by tool_type (e.g. "graph_tweet_search_..." vs
"tweet_search_..."), so sorting by name doesn't actually sort
chronologically once more than one tool has been archived. A checkpoint
update bumps updated_at, so it resurfaces near the top too."""
if not ARCHIVE_ROOT.exists():
return []
results = []
for d in ARCHIVE_ROOT.iterdir():
meta_file = d / "meta.json"
if not meta_file.exists():
continue
try:
meta = json.loads(meta_file.read_text())
meta["id"] = d.name
results.append(meta)
except Exception:
pass
results.sort(key=lambda m: m.get("updated_at") or m.get("archived_at") or "", reverse=True)
return results