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Update app.py
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app.py
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@@ -75,26 +75,39 @@ master_df: pd.DataFrame | None = None
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pattern_config: dict | None = None
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"
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"states": {} # e.g. "KARNATAKA": [{pattern: "...", replacement: "..."}]
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}
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def load_pattern_config() -> dict:
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"""Load patterns from JSON file, or create empty file."""
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if os.path.exists(PATTERN_FILE):
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# If file not present, seed with empty structure
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with open(PATTERN_FILE, "w", encoding="utf-8") as f:
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json.dump(DEFAULT_PATTERN_CONFIG, f, indent=2, ensure_ascii=False)
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return DEFAULT_PATTERN_CONFIG.copy()
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def save_pattern_config(config: dict) -> None:
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pattern_config: dict | None = None
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def load_pattern_config(debug=True) -> dict:
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"""
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Load patterns.json from PATTERN_FILE.
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If missing, create empty structure.
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If debug=True, also return verbose info via prints.
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"""
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if os.path.exists(PATTERN_FILE):
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try:
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with open(PATTERN_FILE, "r", encoding="utf-8") as f:
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cfg = json.load(f)
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if debug:
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print("DEBUG: Successfully loaded patterns.json")
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print("DEBUG: top-level keys:", list(cfg.keys()))
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# show counts safely
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gcount = len(cfg.get("global", []))
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skeys = list(cfg.get("states", {}).keys())
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print(f"DEBUG: global patterns={gcount}, state keys={skeys}")
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return cfg
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except Exception as e:
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print("ERROR: Failed to parse patterns.json:", e)
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# fallback to empty skeleton
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return {"global": [], "states": {}}
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else:
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# Not present — create it with empty structure and log
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skeleton = {"global": [], "states": {}}
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try:
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with open(PATTERN_FILE, "w", encoding="utf-8") as f:
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json.dump(skeleton, f, indent=2, ensure_ascii=False)
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print("DEBUG: patterns.json not found — created empty patterns.json at", PATTERN_FILE)
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except Exception as e:
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print("ERROR: Could not create patterns.json:", e)
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return skeleton
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def save_pattern_config(config: dict) -> None:
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