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Revert "Sécurité : validation EmailStr + tests complets 57/57 + RGPD"

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This reverts commit 4080a308ea.
This commit is contained in:
Mouignihazi
2026-08-09 21:30:14 +02:00
parent 4080a308ea
commit 36e211a524
15 changed files with 0 additions and 1377 deletions
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.gitignore
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@"
.env
__pycache__/
*.pyc
*.pyo
venv/
.venv/
*.db
.pytest_cache/
htmlcov/
"@
api/__init__.py
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api/auth.py
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from datetime import datetime, timedelta, timezone
from typing import Optional
from jose import JWTError, jwt
from passlib.context import CryptContext
from pydantic import BaseModel, EmailStr
SECRET_KEY = "your-secret-key-change-in-production"
ALGORITHM = "HS256"
ACCESS_TOKEN_EXPIRE_MINUTES = 30
pwd_context = CryptContext(schemes=["argon2"], deprecated="auto")
class Token(BaseModel):
access_token: str
token_type: str
class TokenData(BaseModel):
email: Optional[str] = None
class UserLogin(BaseModel):
email: EmailStr
password: str
class UserCreate(BaseModel):
email: EmailStr
password: str
full_name: Optional[str] = None
class UserResponse(BaseModel):
id: int
email: str
full_name: Optional[str] = None
def verify_password(plain_password: str, hashed_password: str) -> bool:
return pwd_context.verify(plain_password, hashed_password)
def get_password_hash(password: str) -> str:
return pwd_context.hash(password)
def create_access_token(data: dict, expires_delta: Optional[timedelta] = None):
to_encode = data.copy()
if expires_delta:
expire = datetime.now(timezone.utc) + expires_delta
else:
expire = datetime.now(timezone.utc) + timedelta(minutes=15)
to_encode.update({"exp": expire})
encoded_jwt = jwt.encode(to_encode, SECRET_KEY, algorithm=ALGORITHM)
return encoded_jwt
def decode_token(token: str) -> Optional[str]:
try:
payload = jwt.decode(token, SECRET_KEY, algorithms=[ALGORITHM])
email: str = payload.get("sub")
if email is None:
return None
return email
except JWTError:
return None
api/main.py
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from fastapi import FastAPI, Depends, HTTPException, status
from fastapi.middleware.cors import CORSMiddleware
from datetime import timedelta
from database.database import SessionLocal
from database.models import Document, User
from api.auth import (
UserLogin, UserCreate, Token, UserResponse, get_password_hash, verify_password,
create_access_token, decode_token, ACCESS_TOKEN_EXPIRE_MINUTES
)
app = FastAPI()
app.add_middleware(
CORSMiddleware,
allow_origins=["*"],
allow_credentials=True,
allow_methods=["*"],
allow_headers=["*"],
)
@app.get("/")
def root():
return {"message": "RegWatch API running"}
@app.post("/test-login")
def test_login(credentials: UserLogin):
return {"received": credentials.dict()}
@app.post("/signup", response_model=UserResponse)
def signup(user: UserCreate):
db = SessionLocal()
existing_user = db.query(User).filter(User.email == user.email).first()
if existing_user:
db.close()
raise HTTPException(
status_code=status.HTTP_400_BAD_REQUEST,
detail="Email already registered"
)
hashed_password = get_password_hash(user.password)
db_user = User(
email=user.email,
password=hashed_password,
full_name=user.full_name
)
db.add(db_user)
db.commit()
db.refresh(db_user)
db.close()
return UserResponse(
id=db_user.id,
email=db_user.email,
full_name=db_user.full_name
)
@app.post("/login", response_model=Token)
def login(credentials: UserLogin):
try:
db = SessionLocal()
user = db.query(User).filter(User.email == credentials.email).first()
db.close()
if not user:
raise HTTPException(
status_code=status.HTTP_401_UNAUTHORIZED,
detail="User not found"
)
if not verify_password(credentials.password, user.password):
raise HTTPException(
status_code=status.HTTP_401_UNAUTHORIZED,
detail="Invalid password"
)
access_token_expires = timedelta(minutes=ACCESS_TOKEN_EXPIRE_MINUTES)
access_token = create_access_token(
data={"sub": user.email}, expires_delta=access_token_expires
)
return Token(access_token=access_token, token_type="bearer")
except HTTPException:
raise
except Exception as e:
print(f"ERROR in login: {str(e)}")
import traceback
traceback.print_exc()
raise HTTPException(
status_code=500,
detail=f"Server error: {str(e)}"
)
@app.get("/me", response_model=UserResponse)
def get_current_user(token: str):
email = decode_token(token)
if not email:
raise HTTPException(
status_code=status.HTTP_401_UNAUTHORIZED,
detail="Invalid token"
)
db = SessionLocal()
user = db.query(User).filter(User.email == email).first()
db.close()
if not user:
raise HTTPException(
status_code=status.HTTP_404_NOT_FOUND,
detail="User not found"
)
return UserResponse(
id=user.id,
email=user.email,
full_name=user.full_name
)
@app.get("/documents")
def get_documents():
db = SessionLocal()
documents = db.query(Document).all()
result = []
for doc in documents:
result.append({
"id": doc.id,
"title": doc.title,
"ingredient": doc.ingredient,
"source": doc.source,
"type": doc.document_type,
"date": doc.meeting_date,
"pdf_url": doc.pdf_url
})
db.close()
return result
check_db.py
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from database.database import SessionLocal
from database.models import Document
db = SessionLocal()
documents = db.query(Document).all()
print(f"Total documents: {len(documents)}")
for doc in documents[:5]:
print(doc.title)
database/__init__.py
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database/database.py
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from sqlalchemy import create_engine
from sqlalchemy.orm import sessionmaker, declarative_base
import os
DB_PATH = os.path.join(os.path.dirname(os.path.dirname(__file__)), "regwatch.db")
DATABASE_URL = f"sqlite:///{DB_PATH}"
engine = create_engine(
DATABASE_URL,
connect_args={"check_same_thread": False}
)
SessionLocal = sessionmaker(
autocommit=False,
autoflush=False,
bind=engine
)
Base = declarative_base()
database/models.py
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from sqlalchemy import Column, Integer, String
from database.database import Base
class User(Base):
__tablename__ = "users"
id = Column(Integer, primary_key=True, index=True)
email = Column(String, unique=True, index=True)
password = Column(String)
full_name = Column(String, nullable=True)
class Document(Base):
__tablename__ = "documents"
id = Column(Integer, primary_key=True, index=True)
title = Column(String)
ingredient = Column(String)
source = Column(String)
document_type = Column(String)
meeting_date = Column(String, nullable=True)
pdf_url = Column(String, unique=True)
init_db.py
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from database.database import engine, SessionLocal
from database.models import Base, User
from api.auth import get_password_hash
Base.metadata.create_all(bind=engine)
# Créer un utilisateur de test
db = SessionLocal()
# Vérifier si l'utilisateur existe déjà
existing_user = db.query(User).filter(User.email == "admin@test.com").first()
if not existing_user:
test_user = User(
email="admin@test.com",
password=get_password_hash("password123"),
full_name="Admin Test User"
)
db.add(test_user)
db.commit()
print("Test user created: admin@test.com / password123")
else:
print("Test user already exists")
db.close()
print("Database initialized successfully.")
requirements.txt
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fastapi
uvicorn
sqlalchemy
requests
beautifulsoup4
pydantic[email]
ollama
python-jose[cryptography]
passlib[argon2]
python-multipart
pdfplumber
scrapers/__init__.py
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scrapers/cir_scraper.py
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import sys
import os
import requests
import time
import re
import io
import ollama
import json
import pdfplumber
from bs4 import BeautifulSoup
from urllib.parse import urljoin
sys.path.append(
os.path.abspath(
os.path.join(os.path.dirname(__file__), "..")
)
)
from database.database import SessionLocal, engine
from database.models import Document, Base
headers = {
"User-Agent": "Mozilla/5.0 (Windows NT 10.0; Win64; x64) AppleWebKit/537.36 (KHTML, like Gecko) Chrome/120.0.0.0 Safari/537.36"
}
session = requests.Session()
session.headers.update(headers)
BASE_URL = "https://www.cir-safety.org"
MEETING_NUMBERS = range(115, 175)
PDF_LIMIT = 100
url_templates = [
"https://www.cir-safety.org/meeting/{num}th-expert-panel-meeting",
"https://www.cir-safety.org/meeting/{num}st-expert-panel-meeting",
"https://www.cir-safety.org/meeting/{num}nd-expert-panel-meeting",
"https://www.cir-safety.org/meeting/{num}rd-expert-panel-meeting",
"https://www.cir-safety.org/meeting/{num}th-cir-expert-panel-meeting",
"https://www.cir-safety.org/meeting/{num}st-cir-expert-panel-meeting",
]
PDF_RE = re.compile(r"\.pdf", re.I)
SKIP_KEYWORDS = ["Agenda", "Minutes", "Status Report"]
def extract_pages_text(pdf_bytes: bytes, max_pages: int = 3) -> str:
"""Extrait le texte des 3 premières pages du PDF."""
try:
with pdfplumber.open(io.BytesIO(pdf_bytes)) as pdf:
if not pdf.pages:
return ""
texts = []
for i, page in enumerate(pdf.pages[:max_pages]):
text = page.extract_text() or ""
if text.strip():
texts.append(f"--- PAGE {i+1} ---\n{text}")
return "\n\n".join(texts)[:5000]
except Exception as e:
print(f" ⚠ Erreur extraction PDF: {e}")
return ""
def extract_info_with_ollama(text: str, pdf_url: str) -> dict:
"""
Envoie le texte des premières pages à Ollama
et récupère les infos structurées en JSON.
"""
if not text.strip():
filename = pdf_url.split("/")[-1].replace("_", " ").replace(".pdf", "")
return {
"title": filename,
"ingredient": None,
"document_type": "document",
"date": None,
}
prompt = f"""You are a regulatory document parser specialized in cosmetic safety documents.
Analyze the following text extracted from the first 3 pages of a regulatory document and extract the information below.
Return ONLY a valid JSON object with these exact fields:
{{
"title": "the real and complete official title of the document as it appears in the text",
"ingredient": "the cosmetic ingredient(s) name only, or null if this document is not about a specific ingredient (e.g. it's a general study, methodology paper, meeting report, status report, etc.)",
"document_type": "one of: final report, draft report, tentative report, safety assessment, opinion, strategy, study, meeting report, status report, other",
"date": "year only as a string e.g. '2023', or null if not found"
}}
Important rules:
- title: look carefully in pages 1 and 2 for the REAL title, it is usually the largest or most prominent text. Do NOT use a generic description.
- ingredient: extract ONLY the ingredient name(s). Remove phrases like 'Safety Assessment of', 'Final Report on', 'Opinion on', 'Amended Safety Assessment of'. If the document is a general study, methodology, or administrative document with no specific ingredient, return null.
- document_type: detect from keywords. If you see 'Final' → 'final report', 'Draft' → 'draft report', 'Tentative' → 'tentative report', 'Opinion' → 'opinion', 'Strategy' → 'strategy', 'Study' → 'study'.
- date: find the most recent year mentioned in the document header or footer (between 2000-2030).
- Return ONLY the JSON object, no markdown, no explanation.
Document text (first 3 pages):
{text}"""
try:
response = ollama.chat(
model="llama3.2",
messages=[{"role": "user", "content": prompt}],
options={"temperature": 0}
)
raw = response["message"]["content"].strip()
raw = re.sub(r"```json|```", "", raw).strip()
# Extrait le JSON même s'il y a du texte autour
match = re.search(r"\{.*\}", raw, re.DOTALL)
if match:
raw = match.group(0)
data = json.loads(raw)
ingredient = data.get("ingredient")
if ingredient and str(ingredient).strip().lower() in ("null", "none", "n/a", ""):
ingredient = None
return {
"title": str(data.get("title") or "").strip()[:200] or "Unknown",
"ingredient": str(ingredient).strip()[:200] if ingredient else None,
"document_type": str(data.get("document_type") or "document").strip().lower(),
"date": str(data.get("date")).strip() if data.get("date") else None,
}
except Exception as e:
print(f" ⚠ Ollama error: {e}")
filename = pdf_url.split("/")[-1].replace("_", " ").replace(".pdf", "")
return {
"title": filename,
"ingredient": None,
"document_type": "document",
"date": None,
}
def get_working_url(num):
for template in url_templates:
url = template.format(num=num)
try:
r = session.get(url, timeout=20)
if r.status_code == 200:
return url, r
except Exception:
pass
return None, None
def extract_pdf_urls_from_page(r):
soup = BeautifulSoup(r.text, "html.parser")
all_pdf_links = soup.find_all("a", href=PDF_RE)
print(f" → {len(all_pdf_links)} PDF links found")
if not all_pdf_links:
print(" ⚠ No PDF links detected.")
return []
urls = []
seen = set()
for link in all_pdf_links:
href = link.get("href", "")
pdf_url = urljoin(BASE_URL, href)
if pdf_url in seen:
continue
seen.add(pdf_url)
context_el = None
for tag in ("tr", "li", "div", "p"):
context_el = link.find_parent(tag)
if context_el:
break
text = context_el.get_text(" ", strip=True) if context_el else ""
if any(kw in text for kw in SKIP_KEYWORDS):
continue
urls.append(pdf_url)
return urls
def save_documents(docs):
db = SessionLocal()
saved = 0
try:
for d in docs:
exists = db.query(Document).filter(Document.pdf_url == d["pdf_url"]).first()
if not exists:
db.add(Document(**d))
saved += 1
db.commit()
print(f" ✓ {saved} new document(s) saved")
except Exception as e:
print(f" DB error: {e}")
db.rollback()
finally:
db.close()
def scrape_cir(limit=PDF_LIMIT):
Base.metadata.create_all(bind=engine)
total = 0
print(f"CIR scraper — limit: {limit} PDFs\n")
for meeting_num in MEETING_NUMBERS:
if total >= limit:
print(f"\n✓ Limit of {limit} reached.")
break
print(f"\n{'='*60}")
print(f"Meeting: {meeting_num} ({total}/{limit})")
url, r = get_working_url(meeting_num)
if not url:
print(" ✗ No page found")
continue
print(f" ✓ {url}")
try:
pdf_urls = extract_pdf_urls_from_page(r)
docs_to_save = []
for pdf_url in pdf_urls:
if total >= limit:
break
print(f"\n Downloading: {pdf_url.split('/')[-1]}")
try:
pdf_resp = session.get(pdf_url, timeout=30)
if pdf_resp.status_code != 200:
print(f" ✗ HTTP {pdf_resp.status_code}")
continue
text = extract_pages_text(pdf_resp.content, max_pages=3)
print(f" → {len(text)} chars extracted")
info = extract_info_with_ollama(text, pdf_url)
print(f" → Title: {info['title'][:70]}")
print(f" → Ingredient: {info['ingredient'] or '(none — general document)'}")
print(f" → Type: {info['document_type']} | Date: {info['date']}")
docs_to_save.append({
"title": info["title"],
"ingredient": info["ingredient"] or "N/A",
"source": "CIR",
"document_type": info["document_type"],
"meeting_date": info["date"],
"pdf_url": pdf_url,
})
total += 1
time.sleep(1)
except Exception as e:
print(f" ✗ Error processing PDF: {e}")
continue
if docs_to_save:
save_documents(docs_to_save)
time.sleep(2)
except Exception as e:
print(f" ✗ Failed: {e}")
print(f"\n{'='*60}")
print(f"CIR scraping complete: {total}/{limit} PDFs")
if __name__ == "__main__":
scrape_cir()
scrapers/sccs_scraper.py
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import sys
import os
import requests
import time
import re
import io
import ollama
import json
import pdfplumber
from bs4 import BeautifulSoup
from urllib.parse import urljoin
sys.path.append(
os.path.abspath(
os.path.join(os.path.dirname(__file__), "..")
)
)
from database.database import SessionLocal, engine
from database.models import Document, Base
BASE_URL = "https://health.ec.europa.eu"
START_URL = (
"https://health.ec.europa.eu/"
"scientific-committees/"
"scientific-committee-consumer-safety-sccs/"
"sccs-opinions_en"
)
MAX_PDFS = 100
headers = {"User-Agent": "Mozilla/5.0"}
session = requests.Session()
session.headers.update(headers)
def extract_pages_text(pdf_bytes: bytes, max_pages: int = 3) -> str:
"""Extrait le texte des 3 premières pages du PDF."""
try:
with pdfplumber.open(io.BytesIO(pdf_bytes)) as pdf:
if not pdf.pages:
return ""
texts = []
for i, page in enumerate(pdf.pages[:max_pages]):
text = page.extract_text() or ""
if text.strip():
texts.append(f"--- PAGE {i+1} ---\n{text}")
return "\n\n".join(texts)[:5000]
except Exception as e:
print(f" ⚠ Erreur extraction PDF: {e}")
return ""
def extract_info_with_ollama(text: str, pdf_url: str, default_type: str = "opinion") -> dict:
"""
Envoie le texte des premières pages à Ollama
et récupère les infos structurées en JSON.
"""
if not text.strip():
filename = pdf_url.split("/")[-1].replace("_", " ").replace(".pdf", "")
return {
"title": filename,
"ingredient": None,
"document_type": default_type,
"date": None,
}
prompt = f"""You are a regulatory document parser specialized in cosmetic safety documents.
Analyze the following text extracted from the first 3 pages of a regulatory document and extract the information below.
Return ONLY a valid JSON object with these exact fields:
{{
"title": "the real and complete official title of the document as it appears in the text",
"ingredient": "the cosmetic ingredient(s) name only, or null if this document is not about a specific ingredient (e.g. it's a general study, methodology paper, meeting report, status report, etc.)",
"document_type": "one of: final report, draft report, tentative report, safety assessment, opinion, strategy, study, meeting report, status report, other",
"date": "year only as a string e.g. '2023', or null if not found"
}}
Important rules:
- title: look carefully in pages 1 and 2 for the REAL title, it is usually the largest or most prominent text. Do NOT use a generic description.
- ingredient: extract ONLY the ingredient name(s). Remove phrases like 'Safety Assessment of', 'Final Report on', 'Opinion on', 'Amended Safety Assessment of'. If the document is a general study, methodology, or administrative document with no specific ingredient, return null.
- document_type: detect from keywords. If you see 'Final' → 'final report', 'Draft' → 'draft report', 'Tentative' → 'tentative report', 'Opinion' → 'opinion', 'Strategy' → 'strategy', 'Study' → 'study'.
- date: find the most recent year mentioned in the document header or footer (between 2000-2030).
- Return ONLY the JSON object, no markdown, no explanation.
Document text (first 3 pages):
{text}"""
try:
response = ollama.chat(
model="llama3.2",
messages=[{"role": "user", "content": prompt}],
options={"temperature": 0}
)
raw = response["message"]["content"].strip()
raw = re.sub(r"```json|```", "", raw).strip()
match = re.search(r"\{.*\}", raw, re.DOTALL)
if match:
raw = match.group(0)
data = json.loads(raw)
ingredient = data.get("ingredient")
if ingredient and str(ingredient).strip().lower() in ("null", "none", "n/a", ""):
ingredient = None
return {
"title": str(data.get("title") or "").strip()[:200] or "Unknown",
"ingredient": str(ingredient).strip()[:200] if ingredient else None,
"document_type": str(data.get("document_type") or default_type).strip().lower(),
"date": str(data.get("date")).strip() if data.get("date") else None,
}
except Exception as e:
print(f" ⚠ Ollama error: {e}")
filename = pdf_url.split("/")[-1].replace("_", " ").replace(".pdf", "")
return {
"title": filename,
"ingredient": None,
"document_type": default_type,
"date": None,
}
def get_soup(url):
try:
r = session.get(url, timeout=25)
if r.status_code == 429:
print("429 → waiting 60s")
time.sleep(60)
r = session.get(url, timeout=25)
r.raise_for_status()
return BeautifulSoup(r.text, "html.parser")
except Exception as e:
print(e)
return None
def save_document(data: dict) -> bool:
db = SessionLocal()
try:
exists = db.query(Document).filter(Document.pdf_url == data["pdf_url"]).first()
if exists:
return False
db.add(Document(**data))
db.commit()
return True
except Exception as e:
print(f" DB error: {e}")
db.rollback()
return False
finally:
db.close()
def process_pdf(pdf_url: str) -> dict | None:
print(f"\n Downloading: {pdf_url.split('/')[-1]}")
try:
r = session.get(pdf_url, timeout=30)
if r.status_code != 200:
print(f" ✗ HTTP {r.status_code}")
return None
text = extract_pages_text(r.content, max_pages=3)
print(f" → {len(text)} chars extracted")
info = extract_info_with_ollama(text, pdf_url, default_type="opinion")
print(f" → Title: {info['title'][:70]}")
print(f" → Ingredient: {info['ingredient'] or '(none — general document)'}")
print(f" → Type: {info['document_type']} | Date: {info['date']}")
return {
"title": info["title"],
"ingredient": info["ingredient"] or "N/A",
"source": "SCCS",
"document_type": info["document_type"],
"meeting_date": info["date"],
"pdf_url": pdf_url,
}
except Exception as e:
print(f" ✗ Error: {e}")
return None
def process_detail_page(url: str, saved_count: int, limit: int) -> int:
if saved_count >= limit:
return 0
time.sleep(2)
print(f"\n Page: {url.split('/')[-1]}")
soup = get_soup(url)
if not soup:
return 0
added = 0
excluded = ["draft", "preliminary", "summary", "factsheet", "infographic"]
for a in soup.find_all("a", href=re.compile(r"\.pdf$", re.I)):
if saved_count + added >= limit:
break
link_text = a.get_text(strip=True).lower()
if any(x in link_text for x in excluded):
continue
pdf_url = urljoin(BASE_URL, a["href"])
doc = process_pdf(pdf_url)
if doc:
if save_document(doc):
added += 1
print(f" ✓ [{saved_count + added}/{limit}] saved")
time.sleep(1)
return added
def scrape_sccs(limit=MAX_PDFS):
Base.metadata.create_all(bind=engine)
saved_count = 0
urls_to_visit = [START_URL]
visited = set()
print(f"SCCS scraper — limit: {limit} PDFs\n")
while urls_to_visit:
if saved_count >= limit:
print(f"\n✓ Limit of {limit} reached.")
break
current = urls_to_visit.pop(0)
if current in visited:
continue
visited.add(current)
print(f"\n{'='*60}")
print(f"Exploring: {current.split('/')[-1]} ({saved_count}/{limit})")
soup = get_soup(current)
if not soup:
continue
for a in soup.find_all("a", href=True):
if saved_count >= limit:
break
href = a["href"].lower()
if "opinions" in href or "sccs_o_" in href:
full_url = urljoin(BASE_URL, a["href"])
if "_en" in full_url and not full_url.endswith(".pdf"):
if any(x in full_url for x in ["2016-2021", "2013-2016", "2009-2012"]):
if full_url not in urls_to_visit:
urls_to_visit.append(full_url)
else:
added = process_detail_page(full_url, saved_count, limit)
saved_count += added
print(f"\n{'='*60}")
print(f"SCCS scraping complete: {saved_count}/{limit} PDFs")
if __name__ == "__main__":
scrape_sccs()
tests/__init__.py
View File
tests/test_regwatch_complet.py
-531
View File
@@ -1,531 +0,0 @@
import pytest
import sys
import os
import time
sys.path.insert(0, os.path.abspath(os.path.join(os.path.dirname(__file__), "..")))
# ── Import app FastAPI ────────────────────────────────────────
try:
from fastapi.testclient import TestClient
from api.main import app
client = TestClient(app)
APP_OK = True
except Exception as e:
APP_OK = False
def skip_no_app():
if not APP_OK:
pytest.skip("App / BDD non disponible")
# ══════════════════════════════════════════════════════════════
# PARTIE 1 — TESTS UNITAIRES (scraper CIR)
# ══════════════════════════════════════════════════════════════
class TestUnitairesExtractPagesText:
"""
Tests unitaires de extract_pages_text()
Réf. cir_scraper.py l.46 — extraction texte PDF
"""
def test_bytes_vide_retourne_chaine_vide(self):
"""Bytes vides → '' sans crash"""
from scrapers.cir_scraper import extract_pages_text
assert extract_pages_text(b"") == ""
def test_pdf_invalide_retourne_chaine_vide(self):
"""Contenu non-PDF → '' (le except l.57 fonctionne)"""
from scrapers.cir_scraper import extract_pages_text
assert extract_pages_text(b"ceci n est pas un pdf") == ""
def test_retour_toujours_une_str(self):
"""La fonction retourne toujours str, jamais None"""
from scrapers.cir_scraper import extract_pages_text
result = extract_pages_text(b"")
assert isinstance(result, str)
def test_limite_5000_caracteres(self):
"""Le texte est tronqué à 5000 chars max (l.55 : [:5000])"""
long_text = "A" * 10000
assert len(long_text[:5000]) == 5000
class TestUnitairesFallbackOllama:
"""
Tests unitaires du fallback Ollama (cir_scraper.py l.65)
Quand le texte extrait est vide, on utilise le nom du fichier PDF
"""
def test_fallback_utilise_nom_fichier(self):
"""pdf_url → nom du fichier sans extension (l.66-68)"""
pdf_url = "https://cir-safety.org/sites/files/Retinol_2024.pdf"
filename = pdf_url.split("/")[-1].replace("_", " ").replace(".pdf", "")
assert filename == "Retinol 2024"
def test_fallback_retourne_4_cles(self):
"""Le fallback retourne bien title, ingredient, document_type, date"""
fallback = {
"title": "Mon Document",
"ingredient": None,
"document_type": "document",
"date": None,
}
assert all(k in fallback for k in ["title", "ingredient", "document_type", "date"])
assert fallback["ingredient"] is None
assert fallback["document_type"] == "document"
def test_nettoyage_ingredient_null_string(self):
"""Ollama retourne 'null'/'none'/'n/a' → converti en None (l.112-113)"""
for val in ["null", "none", "n/a", "", "NULL", "None"]:
result = None if str(val).strip().lower() in ("null", "none", "n/a", "") else val
assert result is None, f"'{val}' aurait dû être None"
def test_titre_tronque_200_chars(self):
"""Le titre est limité à 200 chars (l.117 : [:200])"""
long = "A" * 300
assert len(str(long).strip()[:200]) == 200
class TestUnitairesTemplatesURL:
"""
Tests unitaires des templates d'URL CIR (cir_scraper.py l.31-40)
"""
def test_tous_les_templates_contiennent_num(self):
"""Chaque template contient {num}"""
from scrapers.cir_scraper import url_templates
for t in url_templates:
assert "{num}" in t
def test_tous_les_templates_sont_https(self):
"""Tous les templates utilisent HTTPS"""
from scrapers.cir_scraper import url_templates
for t in url_templates:
assert t.startswith("https://")
def test_format_url_remplace_num(self):
"""Le format {num} est bien remplacé"""
from scrapers.cir_scraper import url_templates
url = url_templates[0].format(num=150)
assert "150" in url
assert "{num}" not in url
def test_meeting_numbers_couvre_115_a_174(self):
"""MEETING_NUMBERS = range(115, 175) → 60 réunions"""
from scrapers.cir_scraper import MEETING_NUMBERS
nums = list(MEETING_NUMBERS)
assert nums[0] == 115
assert nums[-1] == 174
assert len(nums) == 60
def test_pdf_limit_est_100(self):
"""PDF_LIMIT = 100 (l.32)"""
from scrapers.cir_scraper import PDF_LIMIT
assert PDF_LIMIT == 100
class TestUnitairesFiltragePDF:
"""
Tests unitaires du filtrage des liens PDF (cir_scraper.py l.148)
"""
def test_skip_keywords_contient_les_3_valeurs(self):
"""SKIP_KEYWORDS = ['Agenda', 'Minutes', 'Status Report']"""
from scrapers.cir_scraper import SKIP_KEYWORDS
assert "Agenda" in SKIP_KEYWORDS
assert "Minutes" in SKIP_KEYWORDS
assert "Status Report" in SKIP_KEYWORDS
def test_regex_pdf_detecte_extension_pdf(self):
"""PDF_RE détecte .pdf / .PDF / .Pdf"""
from scrapers.cir_scraper import PDF_RE
assert PDF_RE.search("document.pdf")
assert PDF_RE.search("document.PDF")
assert PDF_RE.search("rapport.Pdf")
def test_regex_pdf_ne_detecte_pas_autres(self):
"""PDF_RE ne détecte pas .docx, .png"""
from scrapers.cir_scraper import PDF_RE
assert not PDF_RE.search("document.docx")
assert not PDF_RE.search("image.png")
def test_agenda_est_filtre(self):
"""Un contexte contenant 'Agenda' → filtré"""
from scrapers.cir_scraper import SKIP_KEYWORDS
context = "116th Expert Panel Meeting Agenda"
assert any(kw in context for kw in SKIP_KEYWORDS)
def test_final_report_non_filtre(self):
"""Un 'Final Report' passe le filtre"""
from scrapers.cir_scraper import SKIP_KEYWORDS
context = "Final Report on the Safety Assessment of Retinol"
assert not any(kw in context for kw in SKIP_KEYWORDS)
class TestUnitairesDeduplication:
"""
Tests unitaires de la logique de déduplication (cir_scraper.py l.172)
"""
def test_nouvelle_url_acceptee(self):
"""Une URL absente du set → à insérer"""
existing = {"https://cir.org/doc1.pdf", "https://cir.org/doc2.pdf"}
assert "https://cir.org/doc3.pdf" not in existing
def test_url_existante_rejetee(self):
"""Une URL déjà présente → doublons ignoré"""
existing = {"https://cir.org/doc1.pdf"}
assert "https://cir.org/doc1.pdf" in existing
def test_structure_doc_6_champs(self):
"""Un doc à sauvegarder contient les 6 champs requis"""
doc = {
"title": "Final Report on Retinol",
"ingredient": "Retinol",
"source": "CIR",
"document_type": "final report",
"meeting_date": "2024",
"pdf_url": "https://cir.org/retinol_2024.pdf",
}
for champ in ["title", "ingredient", "source", "document_type", "meeting_date", "pdf_url"]:
assert champ in doc
def test_source_est_cir(self):
"""La source est toujours 'CIR' pour ce scraper"""
assert "CIR" == "CIR"
class TestUnitairesHeadersHTTP:
"""
Tests unitaires des headers HTTP anti-blocage (cir_scraper.py l.22)
"""
def test_user_agent_simule_chrome(self):
"""User-Agent contient Mozilla et Chrome"""
from scrapers.cir_scraper import headers
assert "User-Agent" in headers
assert "Mozilla" in headers["User-Agent"]
assert "Chrome" in headers["User-Agent"]
def test_session_utilise_les_headers(self):
"""La session requests hérite des headers"""
from scrapers.cir_scraper import session
assert "User-Agent" in session.headers
assert "Mozilla" in session.headers["User-Agent"]
# ══════════════════════════════════════════════════════════════
# PARTIE 2 — TESTS D'INTÉGRATION (endpoints FastAPI)
# ══════════════════════════════════════════════════════════════
class TestIntegrationRacine:
"""Tests de GET / (main.py l.21)"""
def test_racine_200(self):
skip_no_app()
assert client.get("/").status_code == 200
def test_racine_retourne_message_running(self):
skip_no_app()
data = client.get("/").json()
assert "message" in data
assert "running" in data["message"].lower() or "RegWatch" in data["message"]
def test_racine_retourne_json(self):
skip_no_app()
r = client.get("/")
assert r.headers["content-type"].startswith("application/json")
class TestIntegrationSignup:
"""Tests de POST /signup (main.py l.28)"""
def test_email_invalide_422(self):
skip_no_app()
r = client.post("/signup", json={"email": "pasunemail", "password": "test", "full_name": "T"})
assert r.status_code == 422
def test_champs_manquants_422(self):
skip_no_app()
r = client.post("/signup", json={"email": "test@test.com"})
assert r.status_code == 422
def test_email_deja_existant_400(self):
"""Email déjà pris → 400 'Email already registered' (l.33-37)"""
skip_no_app()
email = f"doublon_{int(time.time())}@regwatch.fr"
client.post("/signup", json={"email": email, "password": "test123", "full_name": "T"})
r = client.post("/signup", json={"email": email, "password": "autre", "full_name": "T"})
assert r.status_code == 400
def test_signup_reussi_retourne_id_email(self):
"""Signup valide → 200 avec id et email"""
skip_no_app()
email = f"ok_{int(time.time())}@regwatch.fr"
r = client.post("/signup", json={"email": email, "password": "test123", "full_name": "OK"})
assert r.status_code == 200
data = r.json()
assert "id" in data
assert data["email"] == email
class TestIntegrationLogin:
"""Tests de POST /login (main.py l.55)"""
def test_email_inexistant_401(self):
"""Email inconnu → 401 'User not found' (l.65-68)"""
skip_no_app()
r = client.post("/login", json={"email": "xyz_inconnu@regwatch.fr", "password": "test"})
assert r.status_code == 401
assert "not found" in r.json()["detail"].lower()
def test_mauvais_mot_de_passe_401(self):
"""Mauvais mdp → 401 'Invalid password' (l.70-74)"""
skip_no_app()
email = f"mdp_{int(time.time())}@regwatch.fr"
client.post("/signup", json={"email": email, "password": "bonmdp", "full_name": "T"})
r = client.post("/login", json={"email": email, "password": "mauvaismdp"})
assert r.status_code == 401
def test_login_reussi_retourne_token_bearer(self):
"""Login valide → token JWT + token_type='bearer' (l.76-82)"""
skip_no_app()
email = f"jwt_{int(time.time())}@regwatch.fr"
client.post("/signup", json={"email": email, "password": "test123", "full_name": "T"})
r = client.post("/login", json={"email": email, "password": "test123"})
assert r.status_code == 200
data = r.json()
assert "access_token" in data
assert data["token_type"] == "bearer"
assert len(data["access_token"]) > 10
def test_corps_vide_422(self):
skip_no_app()
assert client.post("/login", json={}).status_code == 422
class TestIntegrationMe:
"""Tests de GET /me?token=... (main.py l.88)"""
def test_sans_token_422(self):
"""Paramètre token manquant → 422"""
skip_no_app()
assert client.get("/me").status_code == 422
def test_token_invalide_401(self):
"""Token JWT falsifié → 401 'Invalid token' (l.90-93)"""
skip_no_app()
r = client.get("/me?token=token_completement_faux")
assert r.status_code == 401
assert "invalid" in r.json()["detail"].lower() or "token" in r.json()["detail"].lower()
def test_token_valide_retourne_user(self):
"""Token valide → 200 avec email de l'utilisateur"""
skip_no_app()
email = f"me_{int(time.time())}@regwatch.fr"
client.post("/signup", json={"email": email, "password": "test123", "full_name": "T"})
token = client.post("/login", json={"email": email, "password": "test123"}).json()["access_token"]
r = client.get(f"/me?token={token}")
assert r.status_code == 200
assert r.json()["email"] == email
class TestIntegrationDocuments:
"""Tests de GET /documents (main.py l.104)"""
def test_sans_auth_retourne_200(self):
"""Pas de JWT requis sur cet endpoint (main.py l.104)"""
skip_no_app()
assert client.get("/documents").status_code == 200
def test_retourne_liste_json(self):
skip_no_app()
assert isinstance(client.get("/documents").json(), list)
def test_structure_7_champs_par_document(self):
"""Chaque doc a id, title, ingredient, source, type, date, pdf_url (l.115-123)"""
skip_no_app()
docs = client.get("/documents").json()
if docs:
for champ in ["id", "title", "ingredient", "source", "type", "date", "pdf_url"]:
assert champ in docs[0], f"Champ manquant : {champ}"
def test_source_cir_ou_sccs(self):
"""La source est 'CIR' ou 'SCCS' pour chaque document"""
skip_no_app()
docs = client.get("/documents").json()
for doc in docs:
assert doc["source"] in ["CIR", "SCCS"], f"Source inattendue : {doc['source']}"
# ══════════════════════════════════════════════════════════════
# PARTIE 3 — TESTS DE SÉCURITÉ
# ══════════════════════════════════════════════════════════════
class TestSecuriteInjectionSQL:
"""Tests d'injection SQL — SQLAlchemy protège nativement via requêtes paramétrées"""
def test_injection_sql_dans_email_login(self):
"""' OR 1=1 -- dans l'email → 401 ou 422, JAMAIS 500"""
skip_no_app()
r = client.post("/login", json={"email": "' OR 1=1 --", "password": "test"})
assert r.status_code in [401, 422], f"Possible injection SQL : {r.status_code}"
def test_injection_sql_dans_email_signup(self):
"""'; DROP TABLE users; -- → 400 ou 422, JAMAIS 500"""
skip_no_app()
r = client.post("/signup", json={
"email": "'; DROP TABLE users; --",
"password": "test123",
"full_name": "Hacker"
})
assert r.status_code in [400, 422], f"Possible injection SQL : {r.status_code}"
def test_injection_sql_guillemets_doubles(self):
"""\" OR \"1\"=\"1 dans l'email → pas de 500"""
skip_no_app()
r = client.post("/login", json={"email": "\" OR \"1\"=\"1", "password": "test"})
assert r.status_code != 500
class TestSecuriteJWT:
"""Tests de sécurité JWT"""
def test_token_falsifie_retourne_401(self):
"""JWT avec signature incorrecte → 401 'Invalid token'"""
skip_no_app()
r = client.get("/me?token=eyJhbGciOiJIUzI1NiJ9.faux.mauvaise_signature")
assert r.status_code == 401
def test_token_vide_retourne_401_ou_422(self):
"""Token vide → 401 ou 422"""
skip_no_app()
assert client.get("/me?token=").status_code in [401, 422]
def test_token_malformed_retourne_401(self):
"""Token sans points (format JWT invalide) → 401"""
skip_no_app()
assert client.get("/me?token=cecinestunepasjwt").status_code == 401
def test_token_valide_sur_bon_endpoint(self):
"""Un vrai token JWT permet l'accès à /me"""
skip_no_app()
email = f"jwt_ok_{int(time.time())}@regwatch.fr"
client.post("/signup", json={"email": email, "password": "test123", "full_name": "T"})
token = client.post("/login", json={"email": email, "password": "test123"}).json()["access_token"]
assert client.get(f"/me?token={token}").status_code == 200
class TestSecuriteXSS:
"""Tests XSS — l'API REST retourne du JSON, React échappe côté frontend"""
def test_xss_dans_full_name_stocke_sans_crash(self):
"""Payload XSS dans full_name → accepté sans crash (200 ou 422)"""
skip_no_app()
email = f"xss_{int(time.time())}@regwatch.fr"
r = client.post("/signup", json={
"email": email,
"password": "test123",
"full_name": "<script>alert('xss')</script>"
})
assert r.status_code in [200, 422]
def test_xss_dans_email_ne_plante_pas(self):
"""Payload XSS dans l'email → 422 (validation format email)"""
skip_no_app()
r = client.post("/login", json={
"email": "<script>alert(1)</script>@test.com",
"password": "test"
})
assert r.status_code in [401, 422]
# ══════════════════════════════════════════════════════════════
# PARTIE 4 — CONFORMITÉ RGPD
# ══════════════════════════════════════════════════════════════
class TestRGPD:
"""
Tests de conformité RGPD — exigés par le guide Nexa
Vérifie que les données personnelles sont bien protégées
"""
def test_mot_de_passe_absent_de_la_reponse_signup(self):
"""
Le mot de passe ne doit JAMAIS apparaître dans la réponse API
UserResponse = id + email + full_name SEULEMENT (pas de password)
"""
skip_no_app()
email = f"rgpd_{int(time.time())}@regwatch.fr"
r = client.post("/signup", json={
"email": email,
"password": "mon_super_secret_123",
"full_name": "RGPD Test"
})
assert r.status_code == 200
# Le mot de passe en clair ne doit pas apparaître
assert "mon_super_secret_123" not in r.text
# Le champ password ne doit pas être dans la réponse
assert "password" not in r.json()
def test_mot_de_passe_absent_de_la_reponse_login(self):
"""Le login retourne uniquement access_token et token_type"""
skip_no_app()
email = f"rgpd2_{int(time.time())}@regwatch.fr"
client.post("/signup", json={"email": email, "password": "secret456", "full_name": "T"})
r = client.post("/login", json={"email": email, "password": "secret456"})
assert r.status_code == 200
assert "secret456" not in r.text
data = r.json()
assert "password" not in data
assert set(data.keys()) <= {"access_token", "token_type"}
def test_mot_de_passe_absent_de_la_reponse_me(self):
"""GET /me ne retourne pas le mot de passe"""
skip_no_app()
email = f"rgpd3_{int(time.time())}@regwatch.fr"
client.post("/signup", json={"email": email, "password": "secret789", "full_name": "T"})
token = client.post("/login", json={"email": email, "password": "secret789"}).json()["access_token"]
r = client.get(f"/me?token={token}")
assert r.status_code == 200
assert "secret789" not in r.text
assert "password" not in r.json()
def test_hachage_argon2_dans_requirements(self):
"""
La dépendance passlib[argon2] est bien dans requirements.txt
→ preuve que les mots de passe sont hachés avec Argon2
"""
req_path = os.path.join(
os.path.dirname(__file__), "..", "requirements.txt"
)
if os.path.exists(req_path):
with open(req_path) as f:
content = f.read()
assert "argon2" in content.lower(), \
"passlib[argon2] absent de requirements.txt"
else:
pytest.skip("requirements.txt non trouvé")
def test_token_jwt_expire_apres_acces(self):
"""
Un token JWT est bien structuré (3 parties séparées par des points)
→ preuve que l'expiration est encodée dans le payload
"""
skip_no_app()
email = f"expire_{int(time.time())}@regwatch.fr"
client.post("/signup", json={"email": email, "password": "test123", "full_name": "T"})
token = client.post("/login", json={"email": email, "password": "test123"}).json()["access_token"]
# Un JWT valide a toujours 3 parties séparées par des points
parts = token.split(".")
assert len(parts) == 3, "Le token JWT n'a pas la structure header.payload.signature"
def test_cors_autorise_frontend(self):
"""
Le middleware CORS permet au frontend React de communiquer avec l'API
allow_origins=["*"] configuré dans main.py l.13-18
"""
skip_no_app()
r = client.get("/", headers={"Origin": "http://localhost:5173"})
assert r.status_code == 200