diff --git a/Makefile b/Makefile index b27b697..a0685c3 100644 --- a/Makefile +++ b/Makefile @@ -1,4 +1,4 @@ -.PHONY: build build-solver run stop restart solver app logs status clean dev kill +.PHONY: build build-solver run stop restart solver app logs status clean dev kill build-associates build-emails SOLVER_BIN = solver_rs/target/release/unredact-solver SOLVER_PORT ?= 3100 @@ -138,5 +138,8 @@ clean: stop build-associates: $(PYTHON) scripts/build_associates.py +build-emails: + $(PYTHON) scripts/build_emails.py + test: solver $(PYTHON) -m pytest tests/ --ignore=tests/test_alignment.py -v diff --git a/scripts/build_emails.py b/scripts/build_emails.py new file mode 100644 index 0000000..6b50d9d --- /dev/null +++ b/scripts/build_emails.py @@ -0,0 +1,220 @@ +"""Build the emails.txt word list from multiple Epstein-related data sources. + +Usage: + python scripts/build_emails.py [--data-dir PATH] + +Downloads and merges email addresses from: + 1. HuggingFace dataset (notesbymuneeb/epstein-emails) — parquet + 2. Epstein Exposed API (paginated persons endpoint) + 3. rhowardstone extracted_entities_filtered.json + 4. Hardcoded court-verified addresses + +Outputs deduplicated, sorted, one-per-line to unredact/data/emails.txt. +""" + +import argparse +import json +import re +import time +import urllib.request +from pathlib import Path + +OUTPUT_PATH = Path(__file__).parent.parent / "unredact" / "data" / "emails.txt" + +EMAIL_RE = re.compile(r"[\w.+-]+@[\w.-]+\.\w{2,}") + +COURT_VERIFIED = [ + "jeevacation@gmail.com", + "jeeproject@gmail.com", + "jeeproject@hotmail.com", + "jeeholidays@gmail.com", + "jeeproject@yahoo.com", + "jeffreye@mindspring.com", + "zorroranch@aol.com", + "gmax1@mindspring.com", +] + +# ── Source 1: HuggingFace parquet ────────────────────────────────────────── + +HUGGINGFACE_URL = ( + "https://huggingface.co/datasets/notesbymuneeb/epstein-emails" + "/resolve/main/epstein_email_threads.parquet" +) + + +def fetch_huggingface(data_dir: Path) -> set[str]: + """Download the HuggingFace parquet file and extract email addresses.""" + import pandas as pd + + parquet_path = data_dir / "epstein-emails.parquet" + if not parquet_path.exists(): + print(f"Downloading {HUGGINGFACE_URL}...") + urllib.request.urlretrieve(HUGGINGFACE_URL, parquet_path) + print(f" -> saved to {parquet_path}") + + df = pd.read_parquet(parquet_path) + emails: set[str] = set() + + # Scan sender, recipients, and messages columns for email addresses + for col in ("sender", "recipients", "messages"): + if col not in df.columns: + continue + for value in df[col].dropna(): + text = str(value) + emails.update(EMAIL_RE.findall(text)) + + print(f" HuggingFace: found {len(emails)} unique emails") + return emails + + +# ── Source 2: Epstein Exposed API ────────────────────────────────────────── + +EPSTEIN_EXPOSED_API = "https://epsteinexposed.com/api/v1/persons" + + +def fetch_epstein_exposed() -> set[str]: + """Paginate the Epstein Exposed persons API and extract emails.""" + emails: set[str] = set() + page = 1 + + while True: + url = f"{EPSTEIN_EXPOSED_API}?per_page=100&page={page}" + print(f" Epstein Exposed API: fetching page {page}...") + + try: + req = urllib.request.Request(url, headers={"User-Agent": "unredact-build/1.0"}) + with urllib.request.urlopen(req, timeout=30) as resp: + data = json.loads(resp.read().decode()) + except (urllib.error.HTTPError, urllib.error.URLError, json.JSONDecodeError) as exc: + print(f" Epstein Exposed API: stopping at page {page} ({exc})") + break + + # Handle both list response and paginated object response + if isinstance(data, list): + persons = data + elif isinstance(data, dict): + persons = data.get("data", data.get("results", data.get("persons", []))) + else: + break + + if not persons: + break + + for person in persons: + # Scan the entire person record for email addresses + text = json.dumps(person) + emails.update(EMAIL_RE.findall(text)) + + page += 1 + time.sleep(1) # rate limit: 60 req/min + + print(f" Epstein Exposed: found {len(emails)} unique emails") + return emails + + +# ── Source 3: rhowardstone extracted entities ────────────────────────────── + +RHOWARDSTONE_URL = ( + "https://raw.githubusercontent.com/rhowardstone/Epstein-research-data" + "/main/extracted_entities_filtered.json" +) + + +def fetch_rhowardstone(data_dir: Path) -> set[str]: + """Download extracted_entities_filtered.json and extract email entities.""" + cache_path = data_dir / "extracted_entities_filtered.json" + if not cache_path.exists(): + print(f" Downloading {RHOWARDSTONE_URL}...") + urllib.request.urlretrieve(RHOWARDSTONE_URL, cache_path) + print(f" -> saved to {cache_path}") + + data = json.loads(cache_path.read_text()) + emails: set[str] = set() + + # Collect all entity lists to scan + entity_lists: list[list] = [] + if isinstance(data, list): + entity_lists.append(data) + elif isinstance(data, dict): + # Top-level keys like "emails", "names", etc. each hold a list + for key, value in data.items(): + if isinstance(value, list): + entity_lists.append(value) + + for items in entity_lists: + for item in items: + if not isinstance(item, dict): + continue + entity_type = str(item.get("entity_type", item.get("type", ""))).lower() + if "email" in entity_type: + value = item.get("entity_value", item.get("value", item.get("entity", ""))) + found = EMAIL_RE.findall(str(value)) + emails.update(found) + + print(f" rhowardstone: found {len(emails)} unique emails") + return emails + + +# ── Source 4: Court-verified ─────────────────────────────────────────────── + + +def get_court_verified() -> set[str]: + """Return hardcoded court-verified email addresses.""" + emails = set(COURT_VERIFIED) + print(f" Court-verified: {len(emails)} emails") + return emails + + +# ── Merge and validate ───────────────────────────────────────────────────── + + +def merge_and_validate(all_emails: set[str]) -> list[str]: + """Lowercase, deduplicate, validate, and sort email addresses.""" + valid = set() + for email in all_emails: + email = email.lower().strip() + if EMAIL_RE.fullmatch(email): + valid.add(email) + return sorted(valid) + + +# ── Main ─────────────────────────────────────────────────────────────────── + + +def main(): + parser = argparse.ArgumentParser(description="Build emails.txt from Epstein data sources") + parser.add_argument("--data-dir", type=Path, default=Path(__file__).parent / ".cache", + help="Directory to cache downloaded data files") + args = parser.parse_args() + + args.data_dir.mkdir(parents=True, exist_ok=True) + + all_emails: set[str] = set() + + # Source 1: HuggingFace + print("Source 1: HuggingFace dataset") + all_emails.update(fetch_huggingface(args.data_dir)) + + # Source 2: Epstein Exposed API + print("Source 2: Epstein Exposed API") + all_emails.update(fetch_epstein_exposed()) + + # Source 3: rhowardstone + print("Source 3: rhowardstone extracted entities") + all_emails.update(fetch_rhowardstone(args.data_dir)) + + # Source 4: Court-verified + print("Source 4: Court-verified addresses") + all_emails.update(get_court_verified()) + + # Merge, validate, deduplicate + emails = merge_and_validate(all_emails) + print(f"\nTotal: {len(emails)} unique valid emails") + + OUTPUT_PATH.parent.mkdir(parents=True, exist_ok=True) + OUTPUT_PATH.write_text("\n".join(emails) + "\n") + print(f"Wrote {OUTPUT_PATH}") + + +if __name__ == "__main__": + main() diff --git a/unredact/data/emails.txt b/unredact/data/emails.txt new file mode 100644 index 0000000..0d6d197 --- /dev/null +++ b/unredact/data/emails.txt @@ -0,0 +1,644 @@ +-isoinella@thoollolo.com +101@columbia.edu +11.11@nytimes.com +1abincpa@gmail.com +2cvacation@gmail.com +2jeanluc@gmail.com +5thanniversary@ted.com +6385257@projects.filevi +6385257@projects.filevine +7906271b-bddc-46ea-aebf-da3b9c7d0b50@gmail.com +9eevacabon@gmail.com +9eevacation@gmail.com +a.uchihara@db.com +a@db.com +a@domain.com +a@fbi.gov +aacosta@usa.do +aacosta@usa.doj.gov +acation@gmail.com +acation@gmail.comj +adam@sportis.com.pl +adley.gillin@db.com +ahn@hbrkassociates.com +aj@aetna.co +ajee@gmail.com +aleevacation@gmail.com 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