diff --git a/.hermes/plans/2026-08-29_data-source-expansion-phase-2.md b/.hermes/plans/2026-08-29_data-source-expansion-phase-2.md index d72e9c3..6269250 100644 --- a/.hermes/plans/2026-08-29_data-source-expansion-phase-2.md +++ b/.hermes/plans/2026-08-29_data-source-expansion-phase-2.md @@ -75,19 +75,23 @@ Each is a collector + FACTORS entry ×N + THEME wiring + tests. - Factor: `consumer_confidence` (sign +1). - Feasibility: spike — some sources require login; fallback to TradingEconomics "consumer confidence". -## Phase B — sector-specific (IMPLEMENTED 2026-08-29 via TradingEconomics single-page snapshots) +## Phase B — sector-specific (IMPLEMENTED 2026-08-29 via single-page snapshots) ### B1. Property: `te_property_prices` (residential property prices % YoY) — DONE, feeds property theme -### B2. Utilities: EPPO electricity — DEFERRED (no clean single-page TE snapshot; needs EPPO scraper) -### B3. Energy breadth: PTT/PTTEP/BCP quarterly — DEFERRED (needs company-IR scrapers, heavier) +### B3. Energy breadth: `energy_irpc` (IRPC net margin, 3M26 +10.27%) — DONE, feeds refining_energy/exploration/utilities ### B4. Telecom/backdrop: `te_business_confidence` — DONE, feeds telecom_it + property + healthcare ### B5. Healthcare: consumer/business backdrop wired in — DONE (macro + business confidence) -Both added to the existing `te_thailand.py` module (2 extra TE pages) — same reviewed pattern, +2 factors, +4 tests. +Added to `te_thailand.py` + new `energy_irpc.py`, same reviewed pattern. Full suite 368. -## Remaining backlog (needs dedicated scrapers, not single-page snapshots) -- REIC property transfer/housing supply (TH-specific, richer than a TE index) -- EPPO electricity demand/generation for utilities -- PTT/PTTEP/BCP/IRPC quarterly financials (beyond TOP) for energy breadth -- NBTC subscriber/data for a true telecom-specific series +## Deferred / blocked by feasibility (2026-08-29 spike results — all JS-rendered or anti-bot) +- **REIC** (property transfer): JS SPA, data loads via XHR — not plain-HTML scrapable. + Would need browser_exec or `har-derived-api-client` (XHR reverse-engineering). +- **EPPO** (utilities electricity): WordPress/JS pages, no static numeric table. +- **NBTC** (telecom data): HTTP 403 anti-bot block. +- **PTTEP** (energy): JS shell (no server-rendered tables); PTT/BCP URLs 404/DNS. + Only **IRPC** among the energy names exposed a server-rendered financial table. +These are NOT quick plain-HTML collectors — they need a browser/XHR approach or a +logged-in/authorized session. Do them as a separate effort if the analysis needs +them, not as simple additions to this collector family. --- diff --git a/backend/app/dashboard.py b/backend/app/dashboard.py index d965f85..21f5dfe 100644 --- a/backend/app/dashboard.py +++ b/backend/app/dashboard.py @@ -75,8 +75,8 @@ class RealDashboard: def build(self) -> dict: # 1) live theme data (real, no fallback) - from . import (auto_credit, auto_npl, bank_npl, energy_thai, bot_tourism, - macro_thai, te_thailand, thai_trade) + from . import (auto_credit, auto_npl, bank_npl, energy_irpc, energy_thai, + bot_tourism, macro_thai, te_thailand, thai_trade) tourism = None try: @@ -93,6 +93,8 @@ class RealDashboard: self.cache, "bank_npl", lambda: bank_npl.fetch_bank_npl().to_dict(), "bank_npl") en_d = _fetch_with_cache( self.cache, "energy_thai", lambda: energy_thai.fetch_energy_thai().to_dict(), "energy_thai") + irpc_d = _fetch_with_cache( + self.cache, "energy_irpc", lambda: energy_irpc.fetch_energy_irpc().to_dict(), "energy_irpc") macro_d = _fetch_with_cache( self.cache, "macro_thai", lambda: macro_thai.fetch_macro_thai().to_dict(), "macro_thai") trade_d = _fetch_with_cache( @@ -103,7 +105,8 @@ class RealDashboard: # 2) per-theme surprise — registry-driven (THE single source of truth) fetched = { "macro_thai": macro_d, "auto_credit": auto_d, - "auto_npl": npl_d, "energy_thai": en_d, "bank_npl": bnpl_d, + "auto_npl": npl_d, "energy_thai": en_d, "energy_irpc": irpc_d, + "bank_npl": bnpl_d, "thai_trade": trade_d, "te_thailand": te_d, } tourism_surprise = self._tourism_surprise() @@ -116,7 +119,9 @@ class RealDashboard: self._mk_theme("tourism", surprises.get("tourism"), tourism), self._mk_theme("auto_credit", surprises.get("auto_credit"), _auto_read(auto_d, npl_d, self.cache)), - self._mk_theme("refining_energy", surprises.get("refining_energy"), en_d), + self._mk_theme("refining_energy", surprises.get("refining_energy"), + {**en_d, "irpc_net_margin_pct": (irpc_d or {}).get("net_margin_pct"), + "source": "TOP + IRPC investor"}), ] # macro-proxy reads for the expanded SET50 themes (deterministic) proxy_reads = { @@ -162,7 +167,7 @@ class RealDashboard: board = self._build_board(themes, macro_d) # 5) source provenance table - sources = self._build_sources(auto_d, npl_d, en_d, macro_d, tourism, bnpl_d, trade_d, te_d) + sources = self._build_sources(auto_d, npl_d, en_d, macro_d, tourism, bnpl_d, trade_d, te_d, irpc_d) return { "themes": themes, @@ -300,7 +305,7 @@ class RealDashboard: board.sort(key=lambda r: r["combined"], reverse=True) return board - def _build_sources(self, auto_d, npl_d, en_d, macro_d, tourism, bnpl_d=None, trade_d=None, te_d=None) -> list: + def _build_sources(self, auto_d, npl_d, en_d, macro_d, tourism, bnpl_d=None, trade_d=None, te_d=None, irpc_d=None) -> list: """Sources derived from the FACTORS registry — adding a factor to factors.py auto-appends its source row here (no hardcoded list).""" import datetime as _dt @@ -309,7 +314,8 @@ class RealDashboard: fetched = { "auto_credit": auto_d, "auto_npl": npl_d, - "energy_thai": en_d, "macro_thai": macro_d, "bank_npl": bnpl_d, + "energy_thai": en_d, "energy_irpc": irpc_d, + "macro_thai": macro_d, "bank_npl": bnpl_d, "thai_trade": trade_d, "te_thailand": te_d, } # group FACTORS by fetch module -> one row per distinct source @@ -339,6 +345,7 @@ class RealDashboard: "auto_npl": "BOT FI_NP_003_S2", "bank_npl": "BOT FI_NP_003_S2", "energy_thai": "Thai Oil investor", + "energy_irpc": "IRPC investor", "macro_thai": "BOT Thai Economy", "bot_tourism": "BOT Tourism", "thai_trade": "TradingEconomics", diff --git a/backend/app/energy_irpc.py b/backend/app/energy_irpc.py new file mode 100644 index 0000000..354eb8e --- /dev/null +++ b/backend/app/energy_irpc.py @@ -0,0 +1,133 @@ +"""IRPC refining-margin factor — IRPC PCL quarterly performance highlights. + +Source: https://investor.irpc.co.th/en/financial-results/performance-highlights +(IRPC, Thailand's second-largest refiner). Server-rendered HTML table with +columns `[2024, 2025, 3M26]` (annual + latest quarter) and rows incl.: + + Net Profit Margin (1.65%) (1.28%) 10.27% + EBITDA Margin 1.42% 2.22% 19.19% + +This extends the energy/refining theme beyond TOP (`energy_thai.py`) with a +second real Thai refiner. The latest-period Net Profit Margin is the signal: +IRPC swung from -1.65% (2024) to +10.27% (3M26) → a strong refining-margin +recovery. Single-page snapshot, no history join required. +""" + +from __future__ import annotations + +import html +import re +from dataclasses import dataclass, field +from typing import Optional +from urllib.request import Request, urlopen + +_USER_AGENT = ( + "Mozilla/5.0 (Macintosh; Intel Mac OS X 10_15_7) AppleWebKit/537.36 " + "(KHTML, like Gecko) Chrome/131.0.0.0 Safari/537.36" +) +_URL = "https://investor.irpc.co.th/en/financial-results/performance-highlights" + + +class EnergyIrpcError(Exception): + """Raised when the IRPC performance-highlights page cannot be fetched/parsed.""" + + +@dataclass(frozen=True) +class EnergyIrpcSnapshot: + net_margin_pct: Optional[float] = None # latest period net profit margin % + ebitda_margin_pct: Optional[float] = None # latest period EBITDA margin % + roe_pct: Optional[float] = None + period: str = "" + columns: list = field(default_factory=list) # e.g. ["2024","2025","3M26"] + source: str = "irpc" + + def to_dict(self) -> dict: + return { + "source": self.source, + "net_margin_pct": self.net_margin_pct, + "ebitda_margin_pct": self.ebitda_margin_pct, + "roe_pct": self.roe_pct, + "period": self.period, + "columns": self.columns, + } + + +def _fetch(url: str = _URL, timeout: float = 30.0) -> str: + req = Request(url, headers={"User-Agent": _USER_AGENT, "Accept": "text/html"}) + try: + with urlopen(req, timeout=timeout) as resp: + raw = resp.read() + except Exception as exc: + raise EnergyIrpcError(f"failed to fetch {url}: {exc}") from exc + try: + return raw.decode("utf-8") + except UnicodeDecodeError: + return raw.decode("latin-1", "ignore") + + +def _cells(row_html: str) -> list[str]: + return [ + html.unescape(re.sub(r"<[^>]+>", "", td)).strip() + for td in re.findall(r"]*>(.*?)", row_html, re.S) + if td.strip() + ] + + +def _to_pct(text: str) -> Optional[float]: + """Parse a percent string: '10.27%' -> 10.27, '(1.65%)' -> -1.65.""" + text = text.replace(",", "").strip() + neg = text.startswith("(") and text.endswith(")") + digits = text.strip("()% ") + try: + val = float(digits) + except ValueError: + return None + return -val if neg else val + + +def parse_energy_irpc_html(html_text: str) -> EnergyIrpcSnapshot: + """Parse the IRPC performance-highlights table.""" + columns: list[str] = [] + rows: dict[str, list] = {} + for table in re.findall(r"]*>(.*?)", html_text, re.S): + for tr in re.findall(r"]*>(.*?)", table, re.S): + cells = _cells(tr) + if not cells: + continue + # header row: "Financial Highlights" + period labels + if cells[0].lower().startswith("financial highlight"): + columns = cells[1:] + continue + label = cells[0].strip().lower() + rows[label] = cells[1:] + + if not columns: + raise EnergyIrpcError("no IRPC financial periods found on page") + + def _pick(label): + values = rows.get(label) + if not values: + return None + # latest period is the last column + return _to_pct(values[-1]) if values else None + + # Only `net_margin` is registered as a FACTORS factor; ebitda/roe are surfaced + # here for the dashboard read/display only (future-proof, not scored). + net_margin = _pick("net profit margin") + ebitda = _pick("ebitda margin") + roe = _pick("return on equity") + + if net_margin is None and ebitda is None: + raise EnergyIrpcError("no usable IRPC margin series found on page") + + return EnergyIrpcSnapshot( + net_margin_pct=net_margin, + ebitda_margin_pct=ebitda, + roe_pct=roe, + period=columns[-1] if columns else "", + columns=[c for c in columns], + ) + + +def fetch_energy_irpc(timeout: float = 30.0) -> EnergyIrpcSnapshot: + return parse_energy_irpc_html(_fetch(timeout=timeout)) diff --git a/backend/app/factors.py b/backend/app/factors.py index a180cd1..cb3b986 100644 --- a/backend/app/factors.py +++ b/backend/app/factors.py @@ -24,6 +24,7 @@ _FETCH_MODULE: dict[str, str] = { "auto_npl": "auto_npl", "bank_npl": "bank_npl", "energy_thai": "energy_thai", + "energy_irpc": "energy_irpc", "macro_thai": "macro_thai", "thai_trade": "thai_trade", "te_thailand": "te_thailand", @@ -103,6 +104,17 @@ FACTORS: dict[str, dict[str, Any]] = { "weight": 1.0, "center": 5.0, "span": 10.0, # net margin % (derived from quarterly) }, + # ---- second Thai refiner: IRPC net margin (extends energy beyond TOP) ---- + "energy_irpc_net_margin": { + "name_th": "กำไรสุทธิ IRPC", + "source": "IRPC", + "frequency": "quarterly", + "fetch": "energy_irpc", + "value_key": "net_margin_pct", + "sign": 1, + "weight": 0.6, + "center": 3.0, "span": 8.0, # net margin %, ~0-3% neutral, refiners volatile + }, # ---- macro backdrop (proxy for expanded SET50 themes) ---- "macro_consumption": { "name_th": "การบริโภคภาคเอกชน (YoY)", diff --git a/backend/app/scheduler.py b/backend/app/scheduler.py index b7df37e..20e008a 100644 --- a/backend/app/scheduler.py +++ b/backend/app/scheduler.py @@ -37,6 +37,7 @@ _REFRESH_JOBS: List[dict] = [ {"key": "auto_credit/tourism", "label": "ยอดขายรถ (TradingEconomics)", "module": "auto_credit", "fn": "fetch_auto_credit", "fetch_module": "auto_credit", "frequency": "monthly"}, {"key": "auto_npl", "label": "NPL รถยนต์ (BOT)", "module": "auto_npl", "fn": "fetch_auto_npl", "fetch_module": "auto_npl", "frequency": "quarterly"}, {"key": "energy_thai", "label": "โรงกลั่น TOP", "module": "energy_thai", "fn": "fetch_energy_thai", "fetch_module": "energy_thai", "frequency": "quarterly"}, + {"key": "energy_irpc", "label": "โรงกลั่น IRPC", "module": "energy_irpc", "fn": "fetch_energy_irpc", "fetch_module": "energy_irpc", "frequency": "quarterly"}, {"key": "macro_thai", "label": "ภาพรวมประเทศไทย (BOT)", "module": "macro_thai", "fn": "fetch_macro_thai", "fetch_module": "macro_thai", "frequency": "monthly"}, {"key": "bank_npl", "label": "NPL ภาคการเงิน (BOT)", "module": "bank_npl", "fn": "fetch_bank_npl", "fetch_module": "bank_npl", "frequency": "quarterly"}, {"key": "thai_trade", "label": "ดุลการค้า/ส่งออก (TradingEconomics)", "module": "thai_trade", "fn": "fetch_thai_trade", "fetch_module": "thai_trade", "frequency": "monthly"}, diff --git a/backend/app/themes.py b/backend/app/themes.py index c45492d..286a7ca 100644 --- a/backend/app/themes.py +++ b/backend/app/themes.py @@ -117,6 +117,7 @@ THEMES: dict[str, dict] = { "label_th": "พลังงาน/โรงกลั่น", "factors": [ {"key": "energy_net_margin", "weight": 1.0}, + {"key": "energy_irpc_net_margin", "weight": 0.6}, {"key": "macro_mfg", "weight": 0.3}, ], }, @@ -198,6 +199,7 @@ THEMES: dict[str, dict] = { "factors": [ {"key": "macro_mfg", "weight": 1.0}, {"key": "energy_net_margin", "weight": 0.3}, + {"key": "energy_irpc_net_margin", "weight": 0.2}, ], }, "nonbank_finance": { @@ -215,6 +217,7 @@ THEMES: dict[str, dict] = { "label_th": "สำรวจ/ผลิตพลังงาน", "factors": [ {"key": "energy_net_margin", "weight": 1.0}, + {"key": "energy_irpc_net_margin", "weight": 0.4}, {"key": "macro_inflation", "weight": 0.2}, {"key": "external_exports", "weight": 0.3}, {"key": "external_current_account", "weight": 0.2}, diff --git a/backend/tests/test_dashboard.py b/backend/tests/test_dashboard.py index 92c9b9c..02de553 100644 --- a/backend/tests/test_dashboard.py +++ b/backend/tests/test_dashboard.py @@ -36,9 +36,10 @@ class DashboardTest(unittest.TestCase): @patch("app.auto_credit.fetch_auto_credit") @patch("app.auto_npl.fetch_auto_npl") @patch("app.energy_thai.fetch_energy_thai") + @patch("app.energy_irpc.fetch_energy_irpc") @patch("app.macro_thai.fetch_macro_thai") @patch("app.bank_npl.fetch_bank_npl") - def test_build_returns_structure(self, bnpl, macro, energy, npl, auto): + def test_build_returns_structure(self, bnpl, macro, energy, eirpc, npl, auto): class _Factory: def __init__(self, data): self._data = data def to_dict(self): return self._data @@ -46,6 +47,7 @@ class DashboardTest(unittest.TestCase): "private_consumption_yoy": 4.9, "headline_inflation_yoy": 1.95, "periods": {}}) energy.return_value = _Factory({ "quarterly": {"Q2/2026": {"net_profit": 8000.0, "ebitda": 9000.0}}}) + eirpc.return_value = _Factory({"net_margin_pct": 10.27, "period": "3M26"}) auto.return_value = _Factory({ "new_car_sales_yoy": 20.07, "total_vehicle_sales": 59000}) npl.return_value = _Factory({ @@ -55,7 +57,7 @@ class DashboardTest(unittest.TestCase): cache = _FakeCache({}) dash = RealDashboard([], cache).build() self.assertEqual(len(dash["themes"]), 13) # all SET50 themes - self.assertEqual(len(dash["sources"]), 8) # auto-derived from FACTORS (te_thailand added) + self.assertEqual(len(dash["sources"]), 9) # auto-derived from FACTORS (energy_irpc added) self.assertIn("macro", dash) self.assertIn("board", dash) diff --git a/backend/tests/test_energy_irpc.py b/backend/tests/test_energy_irpc.py new file mode 100644 index 0000000..65347b6 --- /dev/null +++ b/backend/tests/test_energy_irpc.py @@ -0,0 +1,105 @@ +"""Tests for the IRPC refining-margin collector + theme wiring.""" + +from __future__ import annotations + +import unittest + +from app import energy_irpc, themes +from app.energy_irpc import EnergyIrpcSnapshot, parse_energy_irpc_html + + +_PERF_HTML = """ + + + + + + +
Financial Highlights202420253M26
Current Assets56,99967,086101,978
Total Assets184,555187,383217,356
EBITDA Margin1.42%2.22%19.19%
Net Profit Margin(1.65%)(1.28%)10.27%
Return on Equity(7.12%)(5.26%)7.75%
""" + + +class EnergyIrpcParseTest(unittest.TestCase): + def test_parses_margins(self): + snap = parse_energy_irpc_html(_PERF_HTML) + self.assertIsInstance(snap, EnergyIrpcSnapshot) + self.assertEqual(snap.columns, ["2024", "2025", "3M26"]) + self.assertEqual(snap.net_margin_pct, 10.27) + self.assertEqual(snap.ebitda_margin_pct, 19.19) + self.assertEqual(snap.roe_pct, 7.75) + # latest period is the last column + self.assertEqual(snap.period, "3M26") + + def test_parses_negative_parens(self): + # "(1.65%)" -> -1.65 + snap = parse_energy_irpc_html(_PERF_HTML) + # net_margin picks the LAST column (3M26, +10.27), not the negative one; + # verify the paren parser separately on a table where the last col is negative + html_neg = _PERF_HTML.replace("10.27%", "(3.20%)") + snap2 = parse_energy_irpc_html(html_neg) + self.assertEqual(snap2.net_margin_pct, -3.20) + + def test_to_dict_full(self): + d = parse_energy_irpc_html(_PERF_HTML).to_dict() + self.assertIn("net_margin_pct", d) + self.assertIn("period", d) + self.assertIn("source", d) + + def test_missing_values_raise(self): + html_no = "
Nothing1
" + with self.assertRaises(energy_irpc.EnergyIrpcError): + parse_energy_irpc_html(html_no) + + def test_every_factor_value_key_resolves(self): + from app import factors + keys = set(EnergyIrpcSnapshot().to_dict().keys()) + for fkey, fact in factors.FACTORS.items(): + if fact.get("fetch") != "energy_irpc": + continue + self.assertIn( + fact.get("value_key"), keys, + f"factor {fkey!r} value_key not emitted by energy_irpc", + ) + + +class EnergyIrpcThemeDirectionTest(unittest.TestCase): + """IRPC margin must move energy themes the intended (bullish) direction.""" + + @staticmethod + def _fetched(**irpc): + base = { + "macro_thai": { + "private_consumption_yoy": 4.9, "private_investment_yoy": 18.1, + "headline_inflation_yoy": 1.95, "core_inflation_yoy": 1.0, + "unemployment_pct": 1.0, "manufacturing_yoy": -3.1, + "tourists_ytd_mn": 16.2, + }, + "auto_credit": {"new_car_sales_yoy": 20.07, "vehicle_production": 117383.0, + "auto_exports": 81526.0}, + "auto_npl": {"pct_of_npls": 3.0}, + "bank_npl": {"pct_of_npls": 1.0}, + "energy_thai": {"quarterly": {"Q1/2026": {"net_profit": 19481.0, "sales": 114809.0}}}, + "energy_irpc": {"net_margin_pct": irpc.get("net", 0.0)}, + "thai_trade": {"current_account_usdm": 500.0, "exports_usdm": 34000.0, + "imports_usdm": 38000.0}, + "te_thailand": { + "interest_rate_pct": 1.5, "loans_to_fin_corp": 10000000.0, + "consumer_credit_thbmn": 5000000.0, "household_debt_gdp_pct": 85.0, + "retail_sales_yoy": 0.0, "consumer_confidence": 50.0, + "property_prices_yoy": 0.0, "business_confidence": 50.0, + }, + } + # refresh energy_irpc from kwargs (neutral default 0.0 used above) + base["energy_irpc"] = {"net_margin_pct": irpc.get("net", 0.0)} + return base + + def test_higher_irpc_margin_raises_energy_themes(self): + from app import themes + low = themes.compute_theme_surprises(self._fetched(net=-3.0)) + high = themes.compute_theme_surprises(self._fetched(net=10.0)) + self.assertGreater(high["refining_energy"], low["refining_energy"]) + self.assertGreater(high["exploration"], low["exploration"]) + self.assertGreater(high["utilities"], low["utilities"]) + + +if __name__ == "__main__": + unittest.main() diff --git a/backend/tests/test_scheduler.py b/backend/tests/test_scheduler.py index 742981e..90859c7 100644 --- a/backend/tests/test_scheduler.py +++ b/backend/tests/test_scheduler.py @@ -65,6 +65,7 @@ class VintageCollectionTest(unittest.TestCase): "auto_npl": {"pct_of_npls": 3.0}, "bank_npl": {"pct_of_npls": 0.8}, "energy_thai": {"quarterly": {"q1": {"net_profit": 500.0, "sales": 10000.0}}}, + "energy_irpc": {"net_margin_pct": 5.0}, "thai_trade": {"current_account_usdm": 500.0, "exports_usdm": 34000.0, "imports_usdm": 38000.0}, "te_thailand": {"interest_rate_pct": 1.0, "loans_to_fin_corp": 10000000.0, diff --git a/backend/tests/test_themes.py b/backend/tests/test_themes.py index d95d373..bec018b 100644 --- a/backend/tests/test_themes.py +++ b/backend/tests/test_themes.py @@ -5,7 +5,7 @@ from __future__ import annotations import unittest from app import themes -from app import auto_credit, auto_npl, bank_npl, macro_thai, te_thailand, thai_trade +from app import auto_credit, auto_npl, bank_npl, energy_irpc, macro_thai, te_thailand, thai_trade class ThemesTest(unittest.TestCase): @@ -254,6 +254,8 @@ class RegistryDrivenSurpriseTest(unittest.TestCase): # top-level key — covered separately by factor_value(). if fetch_mod == "energy_thai": continue + if fetch_mod == "energy_irpc": + keys = set(energy_irpc.EnergyIrpcSnapshot().to_dict().keys()) # resolve the module's snapshot .to_dict() keys if fetch_mod == "macro_thai": keys = set(macro_thai.MacroThaiSnapshot().to_dict().keys()) diff --git a/docs/engineering-log/2026-08-29-data-source-expansion-and-ui-fix.md b/docs/engineering-log/2026-08-29-data-source-expansion-and-ui-fix.md index c68a46b..9aed943 100644 --- a/docs/engineering-log/2026-08-29-data-source-expansion-and-ui-fix.md +++ b/docs/engineering-log/2026-08-29-data-source-expansion-and-ui-fix.md @@ -41,9 +41,23 @@ Extended the same `te_thailand` module with 2 more TradingEconomics pages: **362 tests OK**; frontend build clean; live fetch confirmed (1.26 / 46.7). Cleared a stale daily-cache `te_thailand` entry so the new fields show immediately. -## Backlog (needs dedicated scrapers, not single-page snapshots) -REIC property supply, EPPO electricity (utilities), PTT/PTTEP/BCP quarterly breadth -(energy), NBTC subscriber/data (telecom). Marked deferred in the plan. +## Phase C (same day, follow-up "ทำ phase B ต่อได้เลย" — energy breadth) +Feasibility spike of the remaining Phase B sources found most are JS-rendered or +anti-bot (recorded in plan), but **IRPC** performance-highlights is server-rendered +and clean. Added: +- `backend/app/energy_irpc.py` — collector parsing IRPC net-profit/EBITDA/ROE + margin rows [2024,2025,3M26], latest period (3M26: net margin **+10.27%**) +- factor `energy_irpc_net_margin` (sign +1) wired into refining_energy / + exploration / utilities (2nd real Thai refiner beyond TOP) +- scheduler job + dashboard fetch + `_build_sources` row (now **9 sources**) +- tests: parse (incl. paren-negatives), value-key resolution, direction +- frontend theme card shows "กำไรสุทธิ IRPC 10.27%" +Full suite **368 tests OK**; frontend build clean; live dashboard refining_energy +surprise 0.764 driven partly by IRPC margin. + +Deferred (feasibility blocked): REIC (JS SPA/XHR), EPPO (JS/WordPress), NBTC (403 +anti-bot), PTTEP (JS shell), PTT/BCP (404/DNS). 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{{ formatNumber(theme.read.new_car_sales_yoy) }}% YoY ยอดขายรถ
NPL {{ formatNumber(theme.read.auto_npl_pct) }}%
กำไรสุทธิ TOP (รายไตรมาส)
+
กำไรสุทธิ IRPC {{ formatNumber(theme.read.irpc_net_margin_pct) }}%
signal tourism {{ theme.surprise != null ? formatNumber(theme.surprise,2) : '—' }}σ
ดอกเบี้ย {{ formatNumber(theme.read.interest_rate_pct) }}%
NPL ภาคการเงิน {{ formatNumber(theme.read.bank_npl_pct) }}%