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Update app.py
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app.py
CHANGED
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@@ -8,8 +8,10 @@ import re
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import concurrent.futures
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from bs4 import BeautifulSoup
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from functools import lru_cache
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#
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session = requests.Session()
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session.headers.update({
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"User-Agent": "Mozilla/5.0 (compatible; IA-Drone-Explorer/1.0)"
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@@ -66,50 +68,27 @@ def fetch_ia_metadata(identifier):
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return {
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"metadata": item.metadata,
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"files": [
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{
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"name": f.get("name"),
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"format": f.get("format"),
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"size": f.get("size"),
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"md5": f.get("md5"),
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**{k: v for k, v in f.items() if k not in ("name", "format", "size", "md5")}
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}
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for f in item.files
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]
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}
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# --- Search IA and
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def
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query = " OR ".join([kw.strip().replace(" ", "+") for kw in keywords.split(",")])
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ia_query = f"mediatype:(movies) AND ({query})"
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results = list(search_items(ia_query))[:50]
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if scan_enabled and api_key:
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clean_urls = []
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with concurrent.futures.ThreadPoolExecutor(max_workers=10) as executor:
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future_to_url = {executor.submit(scan_url_vt, url, api_key): url for url in candidate_urls}
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for fut in concurrent.futures.as_completed(future_to_url):
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url = future_to_url[fut]
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try:
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if fut.result():
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clean_urls.append(url)
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except Exception:
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pass
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return clean_urls
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return candidate_urls
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# --- Gradio UI ---
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with gr.Blocks(theme=gr.themes.Soft()) as demo:
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gr.Markdown("# 📼 IA Drone‑Strike Explorer")
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with gr.Row():
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@@ -117,65 +96,88 @@ with gr.Blocks(theme=gr.themes.Soft()) as demo:
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vt_key_input = gr.Textbox(label="VirusTotal API Key", type="password")
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scan_toggle = gr.Checkbox(label="Enable VT scan", value=True)
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ffprobe_toggle = gr.Checkbox(label="Enable FFprobe metadata", value=False)
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run_btn = gr.Button("🔍 Search
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with gr.Tabs():
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with gr.TabItem("IA Metadata"):
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ia_meta_json
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with gr.TabItem("FFprobe"):
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ffprobe_json = gr.JSON(label="FFprobe Metadata")
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with gr.TabItem("Origins"):
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if identifier:
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try:
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data = fetch_ia_metadata(identifier)
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raw_ia.update(data)
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except Exception:
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raw_ia["error"] = "could not fetch IA metadata"
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ff_md = {}
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if ff_on:
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try:
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ff_md = extract_ffprobe_metadata(
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except Exception as e:
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ff_md = {"error": str(e)}
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update_all,
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inputs=[
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outputs=[video_player, ia_meta_json, ffprobe_json,
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)
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if __name__ == "__main__":
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demo.launch()
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import concurrent.futures
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from bs4 import BeautifulSoup
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from functools import lru_cache
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from pyvis.network import Network
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from urllib.parse import urlparse
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# Persistent HTTP session for performance
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session = requests.Session()
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session.headers.update({
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"User-Agent": "Mozilla/5.0 (compatible; IA-Drone-Explorer/1.0)"
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return {
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"metadata": item.metadata,
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"files": [
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{k: v for k, v in f.items() if k != "_checksum"}
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for f in item.files
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]
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}
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# --- Search IA and return identifiers ---
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def fetch_identifiers(keywords):
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query = " OR ".join([kw.strip().replace(" ", "+") for kw in keywords.split(",")])
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ia_query = f"mediatype:(movies) AND ({query})"
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results = list(search_items(ia_query, fields=["identifier"]))[:50]
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return [r["identifier"] for r in results]
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# --- List video files for a given item ---
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def list_files_for_identifier(identifier):
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data = fetch_ia_metadata(identifier)
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return [
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f["name"] for f in data["files"]
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if f.get("format", "").lower().startswith(("mpeg","mp4","avi","mov","webm","m4v"))
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]
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# --- Gradio UI setup ---
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with gr.Blocks(theme=gr.themes.Soft()) as demo:
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gr.Markdown("# 📼 IA Drone‑Strike Explorer")
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with gr.Row():
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vt_key_input = gr.Textbox(label="VirusTotal API Key", type="password")
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scan_toggle = gr.Checkbox(label="Enable VT scan", value=True)
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ffprobe_toggle = gr.Checkbox(label="Enable FFprobe metadata", value=False)
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run_btn = gr.Button("🔍 Search Items", variant="primary")
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id_dropdown = gr.Dropdown(label="IA Item Identifiers", choices=[], interactive=True)
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file_dropdown = gr.Dropdown(label="Video Files", choices=[], interactive=True)
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video_player = gr.Video(label="Video Preview")
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with gr.Tabs():
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with gr.TabItem("IA Metadata"):
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ia_meta_json = gr.JSON(label="Raw IA Metadata")
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with gr.TabItem("FFprobe"):
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ffprobe_json = gr.JSON(label="FFprobe Metadata")
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with gr.TabItem("Origins Graph"):
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origins_graph = gr.HTML(label="Source Origins Graph")
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origins_meta = gr.JSON(label="Origins Metadata")
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# 1) Fetch identifiers for search keywords
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run_btn.click(
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lambda kws: gr.update(choices=fetch_identifiers(kws), value=None),
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inputs=[kw_input],
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outputs=[id_dropdown]
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)
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# 2) Populate video files dropdown when an identifier is selected
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id_dropdown.change(
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lambda ident: gr.update(choices=list_files_for_identifier(ident), value=None),
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inputs=[id_dropdown],
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outputs=[file_dropdown]
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)
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# 3) When a file is selected, fetch metadata, run FFprobe (if toggled),
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# and build the clickable origins graph with circular favicon nodes.
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def update_all(identifier, file_name, ff_on, api_key):
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if not identifier or not file_name:
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return None, {}, {}, "", []
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url = f"https://archive.org/download/{identifier}/{file_name}"
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# IA metadata (cached)
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data = fetch_ia_metadata(identifier)
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raw_ia = {"identifier": identifier, **data}
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# FFprobe metadata
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ff_md = {}
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if ff_on:
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try:
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ff_md = extract_ffprobe_metadata(url)
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except Exception as e:
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ff_md = {"error": str(e)}
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# Origins graph
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desc = data["metadata"].get("description", "") or ""
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urls = re.findall(r"https?://[^\s\"<]+", desc)
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origins_list = []
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net = Network(height="300px", width="100%", directed=True)
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net.set_options('{"edges":{"arrows":"to"}}')
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net.add_node(identifier, label=identifier, shape="ellipse")
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for u in urls[:10]:
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meta = fetch_page_metadata(u)
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origins_list.append(meta)
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dom = urlparse(u).netloc
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fav = f"https://www.google.com/s2/favicons?domain={dom}"
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net.add_node(
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u,
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label=dom,
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shape="circularImage",
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image=fav,
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title=json.dumps(meta, indent=2),
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href=u
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)
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net.add_edge(identifier, u)
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graph_html = net.generate_html()
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return url, raw_ia, ff_md, graph_html, origins_list
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file_dropdown.change(
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update_all,
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inputs=[id_dropdown, file_dropdown, ffprobe_toggle, vt_key_input],
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outputs=[video_player, ia_meta_json, ffprobe_json, origins_graph, origins_meta]
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)
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if __name__ == "__main__":
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demo.launch()
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