352 lines
15 KiB
Python
352 lines
15 KiB
Python
import json
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import re
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from pathlib import Path
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BASE_DIR = Path(__file__).resolve().parent
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CALCLIST = BASE_DIR / 'calculators_list.md'
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OUTPUT_FILE = BASE_DIR / 'hdyc-svelte/src/lib/data/calculators.ts'
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def load_external_descriptions():
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# Placeholder for future enrichment sources.
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return {}
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def parse_calculators_list():
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active_calcs = []
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with open(CALCLIST, 'r') as f:
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lines = f.readlines()
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in_table = False
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header_map = {}
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for line in lines:
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if in_table and line.startswith('## '):
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break
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if '| Calculator Name' in line:
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in_table = True
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headers = [p.strip() for p in line.strip().strip('|').split('|')]
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header_map = {header: idx for idx, header in enumerate(headers)}
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continue
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if in_table and line.startswith('| :---'):
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continue
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if in_table and line.startswith('|'):
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parts = [p.strip() for p in line.strip().strip('|').split('|')]
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name_idx = header_map.get('Calculator Name')
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slug_idx = header_map.get('Slug')
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factor_idx = header_map.get('Conversion Factor')
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if None not in (name_idx, slug_idx, factor_idx) and len(parts) > max(name_idx, slug_idx, factor_idx):
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name = parts[name_idx]
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slug = parts[slug_idx]
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factor_raw = parts[factor_idx]
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active_calcs.append((name, slug, factor_raw))
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return active_calcs
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def split_name_and_teaser(name):
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parts = re.split(r'\s[–—-]\s', name, maxsplit=1)
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if len(parts) == 2:
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return parts[0].strip(), parts[1].strip()
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return name.strip(), ''
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def split_conversion_name(name):
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parts = re.split(r'\s+to\s+', name, maxsplit=1, flags=re.IGNORECASE)
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if len(parts) == 2:
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return parts[0].strip(), parts[1].strip()
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return None
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def guess_category(name):
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name_l = name.lower()
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if any(x in name_l for x in ['force', 'torque', 'newton', 'dyne', 'foot-pound']): return 'force'
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if any(x in name_l for x in ['meter', 'inch', 'feet', 'yard', 'mile', 'cable', 'fathom', 'rod', 'chain', 'nautical', 'league']): return 'length'
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if any(x in name_l for x in ['gram', 'pound', 'ounce', 'carat', 'stone', 'slug', 'ton', 'pennyweight', 'grain', 'momme']): return 'weight'
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if any(x in name_l for x in ['celsius', 'fahrenheit', 'kelvin', 'rankine']): return 'temperature'
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if any(x in name_l for x in ['liter', 'gallon', 'cup', 'pint', 'quart', 'fluid', 'milliliter', 'spoon', 'drop']): return 'volume'
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if any(x in name_l for x in ['acre', 'hectare', 'square']): return 'area'
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if ' per ' in name_l or 'knot' in name_l or 'mach' in name_l or 'rpm' in name_l: return 'speed' # RPM might be frequency, close enough
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if any(x in name_l for x in ['pascal', 'bar', 'psi', 'atmosphere', 'mmhg', 'torr', 'water', 'mercury']): return 'pressure'
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if any(x in name_l for x in ['joule', 'calorie', 'btu', 'erg', 'therm', 'electron-volt']): return 'energy'
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if any(x in name_l for x in ['watt', 'horsepower']): return 'power'
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if any(x in name_l for x in ['byte', 'bit', 'nibble', 'baud']): return 'data'
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if any(x in name_l for x in ['second', 'minute', 'hour', 'day', 'week', 'month', 'year']): return 'time'
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if any(x in name_l for x in ['degree', 'radian', 'mil ', 'arc', 'gradian', 'quadrant']): return 'angle'
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if any(x in name_l for x in ['binary', 'hex', 'octal', 'decimal', 'ascii', 'fraction']): return 'number-systems'
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if any(x in name_l for x in ['becquerel', 'curie', 'gray', 'rad', 'sievert', 'rem', 'roentgen', 'rutherford']): return 'radiation'
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if any(x in name_l for x in ['volt', 'amp', 'ohm', 'siemens', 'farad', 'henry', 'coulomb']): return 'electrical'
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if any(x in name_l for x in ['lumen', 'lux', 'candela']): return 'light'
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return 'other'
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def process():
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external_descriptions = load_external_descriptions()
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active_rows = parse_calculators_list()
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calculators_ts_entries = []
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for raw_name, slug, factor_raw in active_rows:
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if raw_name == 'Calculator Name' or not slug:
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continue
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display_name, teaser = split_name_and_teaser(raw_name)
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# Name splitting
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parsed = split_conversion_name(display_name)
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if parsed:
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in1, in2 = parsed
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else:
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in1, in2 = "From", "To"
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category = guess_category(display_name)
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desc_html = external_descriptions.get(slug, "")
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c_type = 'standard'
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factor_val = "1"
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offset_val = "0"
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if '1/x' in factor_raw:
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c_type = 'inverse'
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factor_val = "1"
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elif 'Multi-Variable' in factor_raw:
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c_type = '3col'
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if 'amps' in slug and 'watts' in slug:
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# Based on hdyc-calculators.js, apps-to-watts is 3col-mul, watts-to-amps is 3col
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if slug == 'amps-to-watts': c_type = '3col-mul'
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if slug == 'lux-to-lumens': c_type = '3col-mul'
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elif 'Logarithmic' in factor_raw or 'Exponential' in factor_raw:
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if 'db-int' in slug or 'intensity' in slug: c_type = 'db-int'
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elif 'spl' in slug or 'sound' in slug: c_type = 'db-spl'
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elif 'volts' in slug: c_type = 'db-v'
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else: c_type = 'db-w'
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elif 'Base 60' in factor_raw:
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if slug == 'degrees-minutes-and-seconds-to-decimal-degrees': c_type = 'dms-dd'
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else: c_type = 'dd-dms'
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elif 'GCD' in factor_raw or 'string split' in factor_raw or 'fraction' in slug:
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c_type = 'dec-frac'
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elif 'N/A' in factor_raw or 'Text' in factor_raw:
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if 'ascii' in slug:
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c_type = 'text-bin' if slug.startswith('ascii') else 'bin-text'
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elif 'binary' in slug or 'hex' in slug or 'decimal' in slug or 'octal' in slug:
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c_type = 'base'
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elif '10_to_2' in factor_raw or '16_to_2' in factor_raw or '10_to_16' in factor_raw or 'base' in factor_raw.lower():
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c_type = 'base'
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elif 'Linear Offset' in factor_raw:
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# "Linear Offset (1.8x + 32)"
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m = re.search(r'Linear Offset \(([\d\./]+)x\s*([+-]\s*[\d\.]+)\)', factor_raw)
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if m:
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f_v = m.group(1)
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# handle frac
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if '/' in f_v: f_v = str(float(f_v.split('/')[0]) / float(f_v.split('/')[1]))
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o_v = m.group(2).replace(' ', '')
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factor_val = f_v
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offset_val = o_v
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else:
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m2 = re.search(r'Linear Offset \(([\d\./]+)x\)', factor_raw)
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if m2: factor_val = m2.group(1)
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c_type = 'standard'
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else:
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try:
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# If it's a number
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float(factor_raw)
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factor_val = factor_raw
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except:
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pass
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# Avoid escaping single quotes by using JSON or dict
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entry = {
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'slug': slug,
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'name': display_name,
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'category': category,
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'type': c_type
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}
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if teaser:
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entry['teaser'] = teaser
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# Determine labels
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labels = {'in1': in1, 'in2': in2}
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if c_type in ['3col', '3col-mul']:
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# generic 3rd label
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if 'watts' in slug and 'amps' in slug: labels['in3'] = 'Volts'
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elif 'lumens' in slug: labels['in3'] = 'Area (sq m)'
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elif 'moles' in slug: labels['in3'] = 'Molar Mass'
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else: labels['in3'] = 'Result'
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entry['labels'] = labels
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if c_type == 'standard' and factor_val != "1":
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try: entry['factor'] = float(factor_val)
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except: pass
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if c_type == 'standard' and offset_val != "0":
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try: entry['offset'] = float(offset_val)
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except: pass
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if c_type == 'base':
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if 'binary' in slug:
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if slug.startswith('binary'): entry['fromBase'] = 2
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else: entry['toBase'] = 2
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if 'hex' in slug:
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if slug.startswith('hex'): entry['fromBase'] = 16
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else: entry['toBase'] = 16
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if 'octal' in slug:
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if slug.startswith('octal'): entry['fromBase'] = 8
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else: entry['toBase'] = 8
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if 'decimal' in slug:
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if slug.startswith('decimal'): entry['fromBase'] = 10
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else: entry['toBase'] = 10
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if category == 'data' and c_type == 'standard':
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# Fix data scale names and factors
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# Megabytes, Gigabytes, Terabytes etc should use decimal base-10 sizes (1000).
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# Mebibytes, Gibibytes, Tebibytes should use binary base-2 sizes (1024).
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# Create a simple mapping for names to exponents to calculate strict factors
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units_10 = {'byte': 0, 'kilobyte': 3, 'megabyte': 6, 'gigabyte': 9, 'terabyte': 12, 'petabyte': 15, 'exabyte': 18}
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units_2 = {'kibibyte': 10, 'mebibyte': 20, 'gibibyte': 30, 'tebibyte': 40, 'pebibyte': 50, 'exbibyte': 60}
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in1_key = in1.lower()
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if in1_key.endswith('s'): in1_key = in1_key[:-1]
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in2_key = in2.lower()
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if in2_key.endswith('s'): in2_key = in2_key[:-1]
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# Helper to get base and exp
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def get_val(k):
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if k in units_10: return 10, units_10[k]
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if k in units_2: return 2, units_2[k]
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if k == 'bit': return 10, -1 # placeholder relative to bytes, though bits are 1/8 byte. Handling simple bytes here only
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return None, None
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b1, e1 = get_val(in1_key)
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b2, e2 = get_val(in2_key)
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if b1 and b2 and b1 == b2 and b1 == 10:
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# Decimal to decimal
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factor = 10 ** (e1 - e2)
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factor_val = str(factor)
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try: entry['factor'] = float(factor_val)
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except: pass
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elif b1 and b2 and b1 == b2 and b1 == 2:
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# Binary to binary
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factor = 2 ** (e1 - e2)
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factor_val = str(factor)
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try: entry['factor'] = float(factor_val)
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except: pass
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elif b1 and b2:
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# Cross conversion
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val1 = (10 ** e1) if b1 == 10 else (2 ** e1)
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val2 = (10 ** e2) if b2 == 10 else (2 ** e2)
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factor = val1 / val2
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try: entry['factor'] = float(factor)
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except: pass
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# Remove empty descriptions
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if desc_html:
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entry['descriptionHTML'] = desc_html.replace('"', '\\"').replace('\n', '')
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calculators_ts_entries.append(entry)
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# Mark duplicates / reverse pairs
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# E.g. If "A to B" has a factor F, and "B to A" exists
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existing_slugs = [e['slug'] for e in calculators_ts_entries]
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for e in calculators_ts_entries:
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# Check if inverse exists. We hide the one with the smaller factor (usually < 1) or hide alphabetical later one.
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# But a better heuristic: reverse of split(' to ')
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parsed = split_conversion_name(e['name'])
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if parsed:
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rev_name = f"{parsed[1]} to {parsed[0]}"
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rev_slug = rev_name.lower().replace(' ', '-')
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if rev_slug in existing_slugs and e['slug'] != rev_slug:
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# hide one of them. We'll hide the one where factor < 1, or if both 1, arbitrarily
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if 'factor' in e and e['factor'] < 1.0:
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e['hidden'] = True
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elif 'factor' not in e:
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# just hide alphabetical later
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if e['slug'] > rev_slug:
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e['hidden'] = True
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# Ensure types are right
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# write to TS
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out = """// THIS FILE IS AUTO-GENERATED BY migrate.py
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export type CalcType = 'standard' | 'inverse' | '3col' | '3col-mul' | 'base' | 'text-bin' | 'bin-text' | 'dms-dd' | 'dd-dms' | 'dec-frac' | 'db-int' | 'db-spl' | 'db-v' | 'db-w';
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export interface CalculatorDef {
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slug: string;
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name: string;
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category: string;
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type: CalcType;
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hidden?: boolean;
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factor?: number;
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offset?: number;
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fromBase?: number;
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toBase?: number;
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labels: { in1: string; in2: string; in3?: string };
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descriptionHTML?: string;
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teaser?: string;
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}
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export const categories: Record<string, { label: string; icon: string }> = {
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length: { label: 'Length / Distance', icon: '📏' },
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weight: { label: 'Weight / Mass', icon: '⚖️' },
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temperature: { label: 'Temperature', icon: '🌡️' },
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volume: { label: 'Volume', icon: '🧪' },
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area: { label: 'Area', icon: '📐' },
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speed: { label: 'Speed / Velocity', icon: '💨' },
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pressure: { label: 'Pressure', icon: '🔽' },
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energy: { label: 'Energy', icon: '⚡' },
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power: { label: 'Power', icon: '🔌' },
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data: { label: 'Data Storage', icon: '💾' },
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time: { label: 'Time', icon: '⏱️' },
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angle: { label: 'Angle', icon: '📐' },
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'number-systems':{ label: 'Number Systems', icon: '🔢' },
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radiation: { label: 'Radiation', icon: '☢️' },
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electrical: { label: 'Electrical', icon: '🔋' },
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force: { label: 'Force / Torque', icon: '💪' },
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light: { label: 'Light', icon: '💡' },
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other: { label: 'Other', icon: '🔄' },
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};
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export const calculators: CalculatorDef[] = [
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"""
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for e in calculators_ts_entries:
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desc = e.pop('descriptionHTML', '')
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e_str = json.dumps(e)
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if desc:
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# manually inject descriptionHTML into json representation without double encoding html
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out += f" {{...{e_str}, descriptionHTML: `{desc}`}},\n"
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else:
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out += f" {e_str},\n"
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out += """
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];
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const slugIndex = new Map(calculators.map(c => [c.slug, c]));
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export function getCalculatorBySlug(slug: string): CalculatorDef | undefined {
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return slugIndex.get(slug);
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}
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export function getCalculatorsByCategory(category: string): CalculatorDef[] {
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return calculators.filter(c => c.category === category && !c.hidden);
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}
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export function getCategoriesWithCounts(): { key: string; label: string; icon: string; count: number }[] {
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return Object.entries(categories).map(([key, meta]) => ({
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key,
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...meta,
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count: calculators.filter(c => c.category === key && !c.hidden).length,
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}));
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}
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export function searchCalculators(query: string): CalculatorDef[] {
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const q = query.toLowerCase();
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return calculators.filter(c =>
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(c.name.toLowerCase().includes(q) ||
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c.slug.includes(q) ||
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c.labels.in1.toLowerCase().includes(q) ||
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c.labels.in2.toLowerCase().includes(q)) && !c.hidden
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);
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}
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"""
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with open(OUTPUT_FILE, 'w', encoding='utf-8') as f:
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f.write(out)
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print(f"Generated {len(calculators_ts_entries)} calculators into calculators.ts")
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if __name__ == '__main__':
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process()
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