60-counter-chemical-base

60-counter-chemical-base is a production-ready, federated compound-creation and acid-base analysis platform. It provides a six-database federation layer, a full acid-base analysis and discovery engine (AB-AD), a SafetyGatekeeper access-control system, multi-source data integration from three separate project databases, interactive HTML chart generation, natural-language Q&A routing, and pH-power outcome analysis up to the 256th power. The system tracks substances across three core dimensions — pH level (acidity/alkalinity, 0–14 scale), Plasma level (ionization/energy state), and Starch level (carbohydrate content) — and extends them with acid-base classification properties including pKa, pKb, proton donor/acceptor status, buffer capacity, dissociation constants, and acidity strength scoring. It covers 50+ compound synthesis procedures, 30 real-world pH landmarks, 9 safety zones with first-aid procedures, 70+ blocked keyword terms for illicit-substance filtering, and 31 reference compounds analyzed through 256 mathematical powers. The entire platform is written in Python 3.6+ and uses SQLite for all persistent storage.

The system operates on a three-pair, six-database federation model. Each pair consists of a primary entity database and a relationship/method database, all stored as indexed SQLite files inside the fed_databases/ directory.

A seventh standalone database, substances.db, provides the core pH/Plasma/Starch tracking system with an items table (columns: id, name [UNIQUE], category, ph_level, plasma_level, starch_level, notes, created_at) and four B-tree indexes on ph_level, plasma_level, starch_level, and category for O(log n) range queries.

Compounds are automatically classified by pH value into seven categories with an acidity strength score (0–10 scale):

pKa is estimated as (7 − pH) for acids; pKb as (pH − 7) for bases. The dissociation constant Ka is computed as 10^(−pKa). Proton donor/acceptor flags are set automatically from the acid-base type.

Nine safety zones span the full pH scale, each with color coding, effects description, contact protocol, PPE requirements, ingestion warning, and real-world examples:

Four first-aid protocols cover extreme acid (pH 0–2), severe acid (pH 2–5), safe (pH 6–8), and severe base (pH 9–14) exposure, each with multi-step emergency instructions.

The SafetyGatekeeper class (ab_ad_safety_gatekeeper.py, 286 lines) enforces strict blocking of opioid and illicit drug synthesis content:

Features include SHA-256 hashed supervisor authorization tokens, timestamped audit logging (JSON format), compound-level field inspection (name, synthesis, description), supervised-mode override with full audit trail, and file-based audit report generation.

Defined in ab_ad_landmarks.py, organized into 8 categories:

Landmark categories: Food/Drink (10), Biological (5), Medicine (3), Household (2), Cleaning (4), Industrial (4), Natural (1), Reference (1).

Two integration modules merge data from three external project databases with narcotics filtering:

The MultiSourceAlchemy class (ab_ad_multi_source.py) applies a strict narcotics filter with 30+ banned substance terms. The MultiSourceAlchemyFull class (ab_ad_multi_source_full.py) applies a narrower filter blocking only actual narcotic synthesis procedures (9 specific formulas) while allowing all legitimate precursor chemistry.

The AlchemyAcidBaseExtractor class (alchemy_acid_base_extractor.py, 268 lines) classifies alchemy compounds as acidic, basic, or neutral based on elemental composition. The acid_base_mapping covers 14 elements:

Outputs include a comprehensive acid-base report, ASCII bar-chart visualization of acid/base/neutral distribution, and AB-AD-compatible JSON export.

Three analysis scripts calculate pH-power outcomes for 31 reference compounds across the full acid-to-base spectrum:

The 31 compounds analyzed include: Battery Acid (H2SO4(aq), pH 0.5), Gastric Acid (HCl(aq), pH 1.5), Hydrochloric Acid (HCl, pH 1.0), Sulfuric Acid (H2SO4, pH 1.5), Phosphoric Acid (H3PO4, pH 2.1), Nitric Acid (HNO3, pH 1.3), Acetic Acid conc (CH3COOH, pH 2.0), Citric Acid conc (C6H8O7, pH 2.2), Lemon Juice (pH 2.0), Vinegar (pH 2.5), Wine (pH 3.0), Orange Juice (pH 3.5), Tomato Juice (pH 4.0), Aspirin Solution (C9H8O4(aq), pH 2.5), Coffee (pH 5.0), Black Tea (pH 5.5), Pure Water (H2O, pH 7.0), Human Blood (pH 7.4), Milk (pH 6.5), Sea Water (pH 8.2), Baking Soda (NaHCO3, pH 8.3), Ammonia Solution (NH3(aq), pH 11.0), Milk of Magnesia (Mg(OH)2, pH 10.5), Soap Solution (pH 10.0), Sodium Hydroxide (NaOH, pH 13.0), Potassium Hydroxide (KOH, pH 13.5), Ammonia conc (pH 12.0), Lime Water (Ca(OH)2, pH 12.5), Drain Cleaner (NaOH(aq), pH 13.0), Bleach (NaOCl(aq), pH 12.5), Lye (NaOH(pure), pH 14.0). Export formats: CSV, JSON, XLSX, ODS, XLS.

Populates the B1 and B2 databases with well-known acids and bases:

The ABODCharts class (ab_ad_charts.py, 476 lines) generates four interactive HTML visualizations saved to the ab_ad_charts/ directory:

Three Q&A engine tiers provide progressively richer question routing:

Delivery: Physical Blu-ray disc, AES-256 encrypted, shipped via tracked post.