feat(lme): full multi-year diagram engine for all symbols with entire data timeline

This commit is contained in:
alireza 2026-08-26 10:54:18 +03:30
parent a857102b98
commit 380605daa4
3 changed files with 690 additions and 558 deletions

View File

@ -250,6 +250,14 @@ def get_crypto(_: object = Depends(require_session)):
@app.get("/api/lme/diagram")
def get_lme_diagram(field: str = Query("WM_Cu_low"), _: object = Depends(require_session)):
try:
return scrape_lme.get_entire_diagram_data(field)
except Exception as e:
raise HTTPException(status_code=502, detail=f"Failed to fetch diagram data: {e}")
@app.get("/api/lme/history")
def get_lme_history_route(metal: str = Query("Copper"), _: object = Depends(require_session)):
try:
@ -439,6 +447,10 @@ def v1_world_economy(): return get_world_economy(None)
@data_api.get("/lme/diagram")
def v1_lme_diagram(field: str = "WM_Cu_low"): return scrape_lme.get_entire_diagram_data(field)
@data_api.get("/lme/history")
def v1_lme_history(metal: str = "Copper"): return scrape_lme.get_metal_history(metal)

View File

@ -1,4 +1,5 @@
import urllib.request
import xml.etree.ElementTree as ET
import re
from datetime import datetime
import threading
@ -14,7 +15,7 @@ _cache = {
"data": None,
"last_fetched": 0
}
_history_cache = {}
_diagram_cache = {}
_lock = threading.Lock()
FIELD_MAP = {
@ -40,12 +41,20 @@ FA_NAMES = {
"Zinc": "روی (Zinc)",
"Aluminium": "آلومینیوم (Aluminium)",
"Nickel": "نیکل (Nickel)",
}
MONTHS_MAP = {
"january": "01", "february": "02", "march": "03", "april": "04",
"may": "05", "june": "06", "july": "07", "august": "08",
"september": "09", "october": "10", "november": "11", "december": "12"
"WM_Cu_low": "مس کاتد آلمان (WM-Notiz کف)",
"WM_Cu_high": "مس کاتد آلمان (WM-Notiz سقف)",
"WI_Cu": "مس ویلند (Wieland Copper)",
"ACI": "شاخص مس پیشرفته (ACI)",
"MB_bronze_94_6": "برنز 94/6",
"MB_MS_58_1": "برنج MS 58 (مرحله ۱)",
"MB_MS_58_2": "برنج MS 58 (مرحله ۲)",
"MB_MS_63_37": "برنج MS 63/37",
"MB_MS_63_wire": "مفتول برنجی MS 63",
"USD_ozt_London": "انس طلای لندن (Fixing)",
"Au": "طلای شمش در اروپا",
"Au_processed": "طلای ساخته‌شده در اروپا",
"Ag": "نقره خالص در اروپا",
"Ag_processed": "نقره ساخته‌شده در اروپا",
}
def clean_num(val: str) -> float:
@ -57,19 +66,6 @@ def clean_num(val: str) -> float:
except:
return 0.0
def parse_date_iso(raw: str) -> str:
# Example: "25. August 2026"
try:
parts = raw.replace('.', '').split()
if len(parts) >= 3:
day = parts[0].zfill(2)
month = MONTHS_MAP.get(parts[1].lower(), "01")
year = parts[2]
return f"{year}-{month}-{day}"
except:
pass
return raw
def fetch_raw():
url = 'https://www.westmetall.com/en/markdaten.php'
req = urllib.request.Request(url, headers=HEADERS)
@ -91,10 +87,13 @@ def fetch_raw():
for r in t0_rows[2:]:
cells = [re.sub(r'<.*?>', '', c).replace('&nbsp;', ' ').strip() for c in re.findall(r'<t[dh][^>]*>([\s\S]*?)</t[dh]>', r)]
links = re.findall(r'field=([a-zA-Z0-9_]+)', r)
field = links[0] if links else f"LME_{cells[0][:2]}_cash"
if len(cells) >= 3 and cells[0]:
prices.append({
"metal": cells[0],
"name_fa": FA_NAMES.get(cells[0], cells[0]),
"field": field,
"cash": clean_num(cells[1]),
"cash_str": cells[1],
"three_months": clean_num(cells[2]),
@ -108,10 +107,13 @@ def fetch_raw():
if len(t1_rows) > 2:
for r in t1_rows[2:]:
cells = [re.sub(r'<.*?>', '', c).replace('&nbsp;', ' ').strip() for c in re.findall(r'<t[dh][^>]*>([\s\S]*?)</t[dh]>', r)]
links = re.findall(r'field=([a-zA-Z0-9_]+)', r)
field = links[0] if links else ""
if len(cells) >= 3 and cells[0]:
stocks.append({
"metal": cells[0],
"name_fa": FA_NAMES.get(cells[0], cells[0]),
"field": field,
"stocks": clean_num(cells[1]),
"stocks_str": cells[1],
"change": clean_num(cells[2]),
@ -129,6 +131,7 @@ def fetch_raw():
combined_metals.append({
"metal": m_name,
"name_fa": p["name_fa"],
"field": p["field"],
"cash_settlement": p["cash"],
"cash_str": p["cash_str"],
"three_months": p["three_months"],
@ -154,15 +157,37 @@ def fetch_raw():
"rate_str": cells[1]
})
# Table 3: German Metal Quotations
german_symbols = []
if len(tables) > 3:
for r in re.findall(r'<tr[^>]*>([\s\S]*?)</tr>', tables[3])[2:]:
cells = [re.sub(r'<.*?>', '', c).replace('&nbsp;', ' ').strip() for c in re.findall(r'<t[dh][^>]*>([\s\S]*?)</t[dh]>', r)]
links = re.findall(r'field=([a-zA-Z0-9_]+)', r)
field = links[0] if links else ""
if len(cells) >= 3 and cells[0]:
german_symbols.append({
"name": cells[0],
"name_fa": FA_NAMES.get(field, cells[0]),
"field": field,
"price_str": cells[1],
"prev_str": cells[2],
"unit": "EUR/100kg"
})
# Table 4: Precious Metals
precious = []
if len(tables) > 4:
for r in re.findall(r'<tr[^>]*>([\s\S]*?)</tr>', tables[4])[1:]:
cells = [re.sub(r'<.*?>', '', c).replace('&nbsp;', ' ').strip() for c in re.findall(r'<t[dh][^>]*>([\s\S]*?)</t[dh]>', r)]
links = re.findall(r'field=([a-zA-Z0-9_]+)', r)
field = links[0] if links else ""
if len(cells) >= 2 and cells[0]:
precious.append({
"name": cells[0],
"price_str": cells[1]
"name_fa": FA_NAMES.get(field, cells[0]),
"field": field,
"price_str": cells[1],
"prev_str": cells[2] if len(cells) > 2 else "-"
})
return {
@ -170,6 +195,7 @@ def fetch_raw():
"updated_at": datetime.utcnow().isoformat(),
"metals": combined_metals,
"stocks": stocks,
"german_symbols": german_symbols,
"exchange_rates": fx,
"precious_metals": precious
}
@ -191,65 +217,79 @@ def get_lme_data(ttl_seconds: int = 180):
raise e
return _cache["data"]
def get_metal_history(metal_key: str, ttl_seconds: int = 300):
norm_key = metal_key.lower().strip()
field = FIELD_MAP.get(norm_key)
if not field:
# Fallback: check if the key already is a field
if norm_key.startswith("lme_"):
field = metal_key
else:
field = f"LME_{norm_key[:2].capitalize()}_cash"
def get_entire_diagram_data(field: str, ttl_seconds: int = 3600):
"""
Fetches the ENTIRE multi-year historical dataset for any symbol
from the official XML marketdata API.
"""
field_clean = field.strip()
# Resolve aliases (e.g. "copper" -> "LME_Cu_cash")
field_clean = FIELD_MAP.get(field_clean.lower(), field_clean)
now = time.time()
with _lock:
cached = _history_cache.get(field)
cached = _diagram_cache.get(field_clean)
if cached and (now - cached["time"]) < ttl_seconds:
return cached["data"]
url = f'https://www.westmetall.com/en/markdaten.php?action=table&field={field}'
url = f'https://www.westmetall.com/api/marketdata/en/{field_clean}/'
req = urllib.request.Request(url, headers=HEADERS)
with urllib.request.urlopen(req, timeout=12) as resp:
html = resp.read().decode('utf-8', errors='ignore')
with urllib.request.urlopen(req, timeout=15) as r:
xml_text = r.read().decode('utf-8')
tables = re.findall(r'<table[^>]*>([\s\S]*?)</table>', html)
if not tables:
return {"metal": metal_key, "field": field, "points": []}
root = ET.fromstring(xml_text)
series_elem = root.find('series')
if series_elem is None:
return {"field": field_clean, "lines": []}
rows = re.findall(r'<tr[^>]*>([\s\S]*?)</tr>', tables[0])
points = []
# Skip header
for r in rows[1:]:
cells = [re.sub(r'<.*?>', '', c).replace('&nbsp;', ' ').strip() for c in re.findall(r'<t[dh][^>]*>([\s\S]*?)</t[dh]>', r)]
if len(cells) >= 4 and cells[0]:
c_val = clean_num(cells[1])
tm_val = clean_num(cells[2])
s_val = clean_num(cells[3])
date_iso = parse_date_iso(cells[0])
points.append({
"date": date_iso,
"date_display": cells[0],
"cash": c_val,
"cash_str": cells[1],
"three_months": tm_val,
"three_months_str": cells[2],
"spread": round(tm_val - c_val, 2),
"stocks": s_val,
"stocks_str": cells[3],
lines = []
for line in series_elem:
raw_name = line.attrib.get('name', field_clean)
color = line.attrib.get('lineColor', '#D02E00')
unit = line.attrib.get('yUnit', '')
precision = int(line.attrib.get('yPrecision', '2'))
pts = []
for val in line:
raw_x = val.attrib.get('x', '') # YYYY/MM/DD
date_iso = raw_x.replace('/', '-')
# Also format DD/MM/YYYY for tooltips as shown in user screenshot
parts = date_iso.split('-')
date_display = f"{parts[2]}/{parts[1]}/{parts[0]}" if len(parts) == 3 else date_iso
y_str = val.attrib.get('y', '0').replace(',', '')
try:
y_val = float(y_str)
except:
y_val = 0.0
pts.append({
"x": date_iso,
"date_display": date_display,
"y": y_val
})
# Reverse points to chronological order (oldest to newest) for charting
points.reverse()
lines.append({
"name": raw_name,
"color": color,
"unit": unit,
"precision": precision,
"count": len(pts),
"points": pts
})
result = {
"metal": metal_key,
"name_fa": FA_NAMES.get(metal_key.capitalize(), metal_key),
"field": field,
"total_points": len(points),
"points": points
"field": field_clean,
"name_fa": FA_NAMES.get(field_clean, field_clean),
"total_points": lines[0]["count"] if lines else 0,
"lines": lines
}
with _lock:
_history_cache[field] = {"time": now, "data": result}
_diagram_cache[field_clean] = {"time": now, "data": result}
return result
# Backward compatibility alias
def get_metal_history(metal_key: str, ttl_seconds: int = 300):
return get_entire_diagram_data(metal_key, ttl_seconds)

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