Update app.py

app.py

@@ -26,6 +26,7 @@ from functools import wraps
 import plotly.graph_objects as go
 import plotly.express as px
 import tabulate
+from journal import journal_log, journal_read, clear_journal, JOURNAL_CATEGORIES
 
 # ─────────────────────────────────────────────
 # CACHE SYSTEM (TTL = 24 h)
@@ -73,84 +74,6 @@ def retry(max_attempts=3, delay=1):
         return wrapper
     return decorator
 
-# ─────────────────────────────────────────────
-# LAB JOURNAL (уніфікована система кодування S1)
-# ─────────────────────────────────────────────
-JOURNAL_FILE = "./lab_journal.csv"
-JOURNAL_CATEGORIES = [
-    # S1-A Genomics
-    "S1-A·R1a",  # Real Variant Lookup
-    "S1-A·R1b",  # Variant Concepts
-    "S1-A·R2a",  # Gray Zones Explorer
-    "S1-A·R2b",  # Understudied Target Finder
-    "S1-A·R2c",  # Literature Gap Finder
-    "S1-A·R2d",  # Druggable Orphans
-    "S1-A·R2e",  # Research Assistant
-    # S1-C Drug Discovery
-    "S1-C·R1a",  # FGFR3 RNA Drug
-    "S1-C·R1b",  # SL Drug Mapping
-    "S1-C·R2a",  # m6A × Ferroptosis × Circadian
-    # S1-D LNP
-    "S1-D·R1a",  # LNP Corona ML
-    "S1-D·R2a",  # Flow Corona
-    "S1-D·R3a",  # LNP Brain / BBB
-    "S1-D·R4a",  # AutoCorona NLP
-    "S1-D·R5a",  # CSF/Vitreous/BM
-    "S1-D·R6a",  # Corona Database
-    # S1-E Biomarkers
-    "S1-E·R1a",  # Liquid Biopsy Classifier
-    "S1-E·R1b",  # Protein Panel Validator
-    "S1-E·R2a",  # Multi-protein Biomarkers
-    # S1-F Rare Cancers
-    "S1-F·R1a",  # DIPG Toolkit
-    "S1-F·R2a",  # UVM Toolkit
-    "S1-F·R3a",  # pAML Toolkit
-    # Learning Sandbox
-    "S1-B·R1a",  # miRNA Explorer
-    "S1-B·R2a",  # siRNA Targets
-    "S1-G·General",  # 3D Models
-    "Manual"
-]
-
-def journal_log(category: str, action: str, result: str, note: str = ""):
-    """Log an entry with category."""
-    ts = datetime.datetime.utcnow().isoformat()
-    row = [ts, category, action, result[:200], note]
-    write_header = not os.path.exists(JOURNAL_FILE)
-    with open(JOURNAL_FILE, "a", newline="") as f:
-        w = csv.writer(f)
-        if write_header:
-            w.writerow(["timestamp", "category", "action", "result_summary", "note"])
-        w.writerow(row)
-    return ts
-
-def journal_read(category: str = "All") -> str:
-    """Read journal entries, optionally filtered by category. Returns markdown."""
-    if not os.path.exists(JOURNAL_FILE):
-        return "No entries yet."
-    try:
-        df = pd.read_csv(JOURNAL_FILE)
-        if df.empty:
-            return "No entries yet."
-        if category != "All":
-            df = df[df["category"] == category]
-        if df.empty:
-            return f"No entries for category: {category}"
-        df_display = df[["timestamp", "category", "action", "result_summary"]].tail(50)
-        return df_display.to_markdown(index=False)
-    except Exception as e:
-        print(f"Journal read error: {e}")
-        return "Error reading journal."
-
-def clear_journal():
-    try:
-        if os.path.exists(JOURNAL_FILE):
-            os.remove(JOURNAL_FILE)
-        return "Journal cleared."
-    except Exception as e:
-        print(f"Clear journal error: {e}")
-        return "Error clearing journal."
-
 # ─────────────────────────────────────────────
 # CONSTANTS
 # ─────────────────────────────────────────────