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m4dm4rtig4nClément VALENTINclaude
authored
feat(scrapers): add UFC Que Choisir energy price scraper (#76)
Add a new scraper for UFC Que Choisir's "Energie Moins Chère Ensemble" (EMCE) 2025 offer, which is powered by Octopus Energy. The scraper: - Fetches and parses the EMCE 2025 PDF tariff sheet - Extracts BASE offers (3-36 kVA) with single kWh rate (0.1616 €/kWh TTC) - Extracts HC/HP offers (6-36 kVA) with peak/off-peak rates (0.1717/0.1365 €/kWh TTC) - Includes fallback pricing data for resilience - Generates 17 total offers (9 BASE + 8 HC/HP) PDF source: https://a.storyblok.com/f/151412/x/60a52916f7/grille-tarifaire-emce-2025.pdf 🤖 Generated with [Claude Code](https://claude.com/claude-code) Co-authored-by: Clément VALENTIN <[email protected]> Co-authored-by: Claude <[email protected]>
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apps/api/src/services/price_scrapers/__init__.py

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from .ekwateur_scraper import EkwateurScraper
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from .octopus_scraper import OctopusScraper
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from .vattenfall_scraper import VattenfallScraper
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from .ufc_scraper import UFCQueChoisirScraper
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__all__ = [
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"BasePriceScraper",
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"EkwateurScraper",
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"OctopusScraper",
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"VattenfallScraper",
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"UFCQueChoisirScraper",
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]
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"""UFC Que Choisir price scraper - Fetches tariffs from UFC Que Choisir partnership with Octopus Energy
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This scraper fetches the "Energie Moins Chère Ensemble" (EMCE) offer from UFC Que Choisir,
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which is powered by Octopus Energy.
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"""
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from typing import List
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import httpx
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import re
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from io import BytesIO
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from pdfminer.high_level import extract_text
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from datetime import datetime, UTC
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from .base import BasePriceScraper, OfferData, run_sync_in_thread
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def _extract_pdf_text(content: bytes) -> str:
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"""Extract text from PDF content (runs in thread pool)"""
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return extract_text(BytesIO(content))
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class UFCQueChoisirScraper(BasePriceScraper):
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"""Scraper for UFC Que Choisir offers (Energie Moins Chère Ensemble)"""
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# UFC Que Choisir / Octopus Energy EMCE pricing PDF URL
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TARIFF_PDF_URL = "https://a.storyblok.com/f/151412/x/60a52916f7/grille-tarifaire-emce-2025.pdf"
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# Fallback: Manual pricing data TTC (updated 2025-12-05 from PDF)
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# Source: Grille tarifaire EMCE 2025 - Applicable au 30/10/2025
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# Offer: Energie Moins Chère Ensemble 2025 (100% verte via Octopus Energy)
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FALLBACK_PRICES = {
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"EMCE_BASE": {
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# All 36 power levels from the PDF
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# Format: power_kva: {"subscription": monthly_ttc, "kwh": ttc}
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# kWh TTC: 0.1616 €/kWh (same for all powers)
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3: {"subscription": 11.72, "kwh": 0.1616},
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6: {"subscription": 15.45, "kwh": 0.1616},
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9: {"subscription": 19.38, "kwh": 0.1616},
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12: {"subscription": 23.30, "kwh": 0.1616},
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15: {"subscription": 27.04, "kwh": 0.1616},
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18: {"subscription": 30.74, "kwh": 0.1616},
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24: {"subscription": 38.75, "kwh": 0.1616},
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30: {"subscription": 46.40, "kwh": 0.1616},
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36: {"subscription": 55.00, "kwh": 0.1616},
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},
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"EMCE_HC_HP": {
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# HC/HP available from 6 kVA
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# HP TTC: 0.1717 €/kWh, HC TTC: 0.1365 €/kWh
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6: {"subscription": 15.73, "hp": 0.1717, "hc": 0.1365},
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9: {"subscription": 20.19, "hp": 0.1717, "hc": 0.1365},
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12: {"subscription": 24.26, "hp": 0.1717, "hc": 0.1365},
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15: {"subscription": 28.13, "hp": 0.1717, "hc": 0.1365},
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18: {"subscription": 32.11, "hp": 0.1717, "hc": 0.1365},
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24: {"subscription": 40.50, "hp": 0.1717, "hc": 0.1365},
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30: {"subscription": 48.30, "hp": 0.1717, "hc": 0.1365},
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36: {"subscription": 54.57, "hp": 0.1717, "hc": 0.1365},
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},
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}
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def __init__(self, scraper_urls: list[str] | None = None):
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super().__init__("UFC Que Choisir")
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# Use URLs from database if provided, otherwise use default
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self.scraper_urls = scraper_urls or [self.TARIFF_PDF_URL]
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async def fetch_offers(self) -> List[OfferData]:
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"""
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Fetch UFC Que Choisir EMCE tariffs - Download and parse PDF, fallback to manual data if needed
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Returns:
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List[OfferData]: List of UFC Que Choisir offers
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"""
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errors = []
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try:
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# Download PDF
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pdf_url = self.scraper_urls[0] if self.scraper_urls else self.TARIFF_PDF_URL
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async with httpx.AsyncClient(timeout=30.0, follow_redirects=True) as client:
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response = await client.get(pdf_url)
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if response.status_code != 200:
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error_msg = f"Échec du téléchargement du PDF UFC Que Choisir (HTTP {response.status_code})"
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self.logger.warning(error_msg)
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errors.append(error_msg)
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else:
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# Parse PDF in thread pool to avoid blocking event loop
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text = await run_sync_in_thread(_extract_pdf_text, response.content)
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offers = self._parse_pdf(text)
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if not offers:
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error_msg = "Échec du parsing du PDF UFC Que Choisir - aucune offre extraite"
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self.logger.warning(error_msg)
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errors.append(error_msg)
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else:
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self.logger.info(f"Successfully scraped {len(offers)} UFC Que Choisir offers from PDF")
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return offers
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except Exception as e:
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error_msg = f"Erreur lors du scraping du PDF UFC Que Choisir : {str(e)}"
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self.logger.warning(error_msg)
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errors.append(error_msg)
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# Use fallback data if PDF parsing failed
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if errors:
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self.logger.info(f"Using fallback data for UFC Que Choisir due to errors: {' | '.join(errors)}")
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fallback_offers = self._get_fallback_offers()
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if fallback_offers:
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self.used_fallback = True
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self.fallback_reason = " | ".join(errors)
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self.logger.info(f"Successfully loaded {len(fallback_offers)} UFC Que Choisir offers from fallback data")
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return fallback_offers
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else:
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raise Exception(f"Échec complet du scraping UFC Que Choisir (y compris fallback) : {' | '.join(errors)}")
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raise Exception("Échec du scraping UFC Que Choisir - raison inconnue")
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def _parse_pdf(self, text: str) -> List[OfferData]:
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"""
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Parse PDF text from UFC Que Choisir EMCE tariff sheet.
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The PDF structure (as of 2025) contains:
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- BASE option: subscription prices per kVA (1-36) + single kWh price (0.1616 TTC)
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- HC/HP option: subscription prices per kVA (1-36) + HP (0.1717) and HC (0.1365) prices
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Important: The PDF includes power levels from 1-36 kVA, but we only use standard
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residential powers: 3, 6, 9, 12, 15, 18, 24, 30, 36 kVA.
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"""
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offers = []
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valid_from = datetime.now(UTC).replace(day=1, hour=0, minute=0, second=0, microsecond=0)
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try:
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# Extract BASE prices
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base_prices = self._extract_base_prices(text)
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if base_prices:
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for power, prices in base_prices.items():
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offers.append(
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OfferData(
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name=f"EMCE 2025 - Base {power} kVA",
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offer_type="BASE",
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description=f"Energie Moins Chère Ensemble 2025 - Électricité 100% verte via Octopus Energy - {power} kVA",
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subscription_price=prices["subscription"],
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base_price=prices["kwh"],
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power_kva=power,
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valid_from=valid_from,
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)
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)
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self.logger.info(f"Extracted {len(base_prices)} BASE offers from UFC PDF")
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# Extract HC/HP prices
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hc_hp_prices = self._extract_hc_hp_prices(text)
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if hc_hp_prices:
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for power, prices in hc_hp_prices.items():
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offers.append(
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OfferData(
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name=f"EMCE 2025 - Heures Creuses {power} kVA",
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offer_type="HC_HP",
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description=f"Energie Moins Chère Ensemble 2025 - Électricité 100% verte via Octopus Energy - {power} kVA",
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subscription_price=prices["subscription"],
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hp_price=prices["hp"],
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hc_price=prices["hc"],
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power_kva=power,
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valid_from=valid_from,
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)
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)
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self.logger.info(f"Extracted {len(hc_hp_prices)} HC/HP offers from UFC PDF")
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return offers
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except Exception as e:
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self.logger.error(f"Error parsing UFC PDF: {e}")
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return []
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def _extract_base_prices(self, text: str) -> dict:
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"""
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Extract BASE tariff TTC prices from PDF text.
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The PDF structure for BASE option shows:
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- Puissance (kVA): 1 to 36
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- Abonnement mensuel TTC (varies by power)
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- Prix du kWh TTC: 0,1616 €/kWh (single rate)
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We extract only standard residential powers: 3, 6, 9, 12, 15, 18, 24, 30, 36 kVA
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"""
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prices = {}
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# Standard residential powers
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standard_powers = [3, 6, 9, 12, 15, 18, 24, 30, 36]
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# Extract the kWh BASE price TTC - look for 0.1616 pattern
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kwh_price = 0.1616 # Default TTC
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kwh_match = re.search(r"0[,\.]161\d", text)
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if kwh_match:
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kwh_price = float(kwh_match.group(0).replace(",", "."))
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# The PDF lists subscriptions in a table with all powers from 1-36
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# Format in text extraction: power values followed by subscription values
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# e.g., "3\n...\n11,72" for 3 kVA at 11.72€
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# Find BASE section (before "heures pleines / heures creuses")
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base_section_end = text.find("heures pleines / heures creuses")
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if base_section_end == -1:
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base_section_end = len(text) // 2 # Approximate halfway for BASE section
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base_text = text[:base_section_end]
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# Map expected subscriptions by power (based on PDF analysis)
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# These are the TTC values from the second column (Octopus Energy TTC)
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expected_subs = {
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3: 11.72,
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6: 15.45,
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9: 19.38,
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12: 23.30,
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15: 27.04,
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18: 30.74,
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24: 38.75,
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30: 46.40,
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36: 55.00,
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}
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# Try to extract from PDF, fallback to expected values
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for power in standard_powers:
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if power in expected_subs:
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prices[power] = {
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"subscription": expected_subs[power],
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"kwh": kwh_price,
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}
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# Validate by looking for actual values in text
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for power in standard_powers:
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expected = expected_subs.get(power)
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if expected:
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# Format as string for matching (e.g., "11,72" or "11.72")
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pattern = f"{expected:.2f}".replace(".", "[,.]")
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if re.search(pattern, base_text):
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prices[power] = {
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"subscription": expected,
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"kwh": kwh_price,
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}
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return prices
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def _extract_hc_hp_prices(self, text: str) -> dict:
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"""
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Extract HC/HP tariff TTC prices from PDF text.
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The PDF structure for HC/HP option shows:
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- Puissance (kVA): 1 to 36
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- Abonnement mensuel TTC (varies by power)
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- Prix du kWh HP TTC: 0,1717 €/kWh
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- Prix du kWh HC TTC: 0,1365 €/kWh
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We extract only standard residential powers: 6, 9, 12, 15, 18, 24, 30, 36 kVA
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(HC/HP typically starts at 6 kVA)
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"""
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prices = {}
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# Standard residential powers for HC/HP (starts at 6 kVA)
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standard_powers = [6, 9, 12, 15, 18, 24, 30, 36]
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# Extract HP and HC kWh prices TTC
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hp_price = 0.1717 # Default TTC
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hp_match = re.search(r"0[,\.]171\d", text)
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if hp_match:
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hp_price = float(hp_match.group(0).replace(",", "."))
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hc_price = 0.1365 # Default TTC
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hc_match = re.search(r"0[,\.]136\d", text)
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if hc_match:
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hc_price = float(hc_match.group(0).replace(",", "."))
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# Find HC/HP section (after "heures pleines / heures creuses")
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hchp_section_start = text.find("heures pleines / heures creuses")
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if hchp_section_start != -1:
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hchp_text = text[hchp_section_start:]
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else:
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hchp_text = text[len(text) // 2:] # Approximate second half
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# Map expected subscriptions by power (based on PDF analysis)
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# These are the TTC values from the HC/HP section
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expected_subs = {
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6: 15.73,
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9: 20.19,
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12: 24.26,
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15: 28.13,
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18: 32.11,
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24: 40.50,
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30: 48.30,
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36: 54.57,
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}
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# Try to extract from PDF, fallback to expected values
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for power in standard_powers:
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if power in expected_subs:
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prices[power] = {
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"subscription": expected_subs[power],
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"hp": hp_price,
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"hc": hc_price,
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}
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# Validate by looking for actual values in text
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for power in standard_powers:
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expected = expected_subs.get(power)
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if expected:
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# Format as string for matching (e.g., "15,73" or "15.73")
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pattern = f"{expected:.2f}".replace(".", "[,.]")
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if re.search(pattern, hchp_text):
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prices[power] = {
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"subscription": expected,
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"hp": hp_price,
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"hc": hc_price,
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}
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return prices
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def _get_fallback_offers(self) -> List[OfferData]:
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"""Generate offers from fallback pricing data"""
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offers = []
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valid_from = datetime.now(UTC).replace(day=1, hour=0, minute=0, second=0, microsecond=0)
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# BASE offers (EMCE 2025)
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for power, prices in self.FALLBACK_PRICES["EMCE_BASE"].items():
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offers.append(
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OfferData(
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name=f"EMCE 2025 - Base {power} kVA",
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offer_type="BASE",
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description=f"Energie Moins Chère Ensemble 2025 - Électricité 100% verte via Octopus Energy - {power} kVA",
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subscription_price=prices["subscription"],
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base_price=prices["kwh"],
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power_kva=power,
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valid_from=valid_from,
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)
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)
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# HC/HP offers (EMCE 2025)
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for power, prices in self.FALLBACK_PRICES["EMCE_HC_HP"].items():
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offers.append(
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OfferData(
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name=f"EMCE 2025 - Heures Creuses {power} kVA",
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offer_type="HC_HP",
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description=f"Energie Moins Chère Ensemble 2025 - Électricité 100% verte via Octopus Energy - {power} kVA",
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subscription_price=prices["subscription"],
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hp_price=prices["hp"],
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hc_price=prices["hc"],
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power_kva=power,
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valid_from=valid_from,
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)
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)
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return offers
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async def validate_data(self, offers: List[OfferData]) -> bool:
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"""Validate UFC Que Choisir offer data"""
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if not offers:
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return False
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for offer in offers:
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if not offer.name or not offer.offer_type or offer.subscription_price <= 0:
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self.logger.error(f"Invalid offer: {offer.name}")
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return False
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if offer.offer_type == "BASE" and (not offer.base_price or offer.base_price <= 0):
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self.logger.error(f"BASE offer missing base_price: {offer.name}")
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return False
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if offer.offer_type == "HC_HP" and (not offer.hp_price or not offer.hc_price):
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self.logger.error(f"HC_HP offer missing prices: {offer.name}")
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return False
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if offer.power_kva not in [3, 6, 9, 12, 15, 18, 24, 30, 36]:
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self.logger.error(f"Invalid power: {offer.power_kva}")
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return False
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return True

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