2nd commit trimmed some files

storefront-chatbot_scaffold_merged/storefront-chatbot/MAPPING_TABLE.csv

@@ -1,23 +0,0 @@
-source_zip,source_path,target_path,status
-full,/mnt/data/storefront-chatbot_full_merge/_ext_full/extras/mbf_bot/app.py,storefront_chatbot/app/app.py,placed
-agentic,/mnt/data/storefront-chatbot_full_merge/_ext_agentic/storefront_chatbot_skeleton/anon_bot/handler.py,storefront_chatbot/anon_bot/handler.py,placed
-agentic,/mnt/data/storefront-chatbot_full_merge/_ext_agentic/storefront_chatbot_skeleton/anon_bot/rules.py,storefront_chatbot/anon_bot/rules.py,placed
-agentic,/mnt/data/storefront-chatbot_full_merge/_ext_agentic/storefront_chatbot_skeleton/app/app.py,storefront_chatbot/app/app.py,overwrote_full
-agentic,/mnt/data/storefront-chatbot_full_merge/_ext_agentic/storefront_chatbot_skeleton/app/routes.py,storefront_chatbot/app/routes.py,placed
-agentic,/mnt/data/storefront-chatbot_full_merge/_ext_agentic/storefront_chatbot_skeleton/core/config.py,storefront_chatbot/core/config.py,placed
-agentic,/mnt/data/storefront-chatbot_full_merge/_ext_agentic/storefront_chatbot_skeleton/core/logging.py,storefront_chatbot/core/logging.py,placed
-agentic,/mnt/data/storefront-chatbot_full_merge/_ext_agentic/storefront_chatbot_skeleton/core/types.py,storefront_chatbot/core/types.py,placed
-agentic,/mnt/data/storefront-chatbot_full_merge/_ext_agentic/storefront_chatbot_skeleton/guardrails/pii_redaction.py,storefront_chatbot/guardrails/pii_redaction.py,placed
-agentic,/mnt/data/storefront-chatbot_full_merge/_ext_agentic/storefront_chatbot_skeleton/guardrails/safety.py,storefront_chatbot/guardrails/safety.py,placed
-agentic,/mnt/data/storefront-chatbot_full_merge/_ext_agentic/storefront_chatbot_skeleton/logged_in_bot/handler.py,storefront_chatbot/logged_in_bot/handler.py,placed
-agentic,/mnt/data/storefront-chatbot_full_merge/_ext_agentic/storefront_chatbot_skeleton/logged_in_bot/sentiment_azure.py,storefront_chatbot/logged_in_bot/sentiment_azure.py,placed
-agentic,/mnt/data/storefront-chatbot_full_merge/_ext_agentic/storefront_chatbot_skeleton/logged_in_bot/tools.py,storefront_chatbot/logged_in_bot/tools.py,placed
-agentic,/mnt/data/storefront-chatbot_full_merge/_ext_agentic/storefront_chatbot_skeleton/memory/sessions.py,storefront_chatbot/memory/sessions.py,placed
-agentic,/mnt/data/storefront-chatbot_full_merge/_ext_agentic/storefront_chatbot_skeleton/memory/store.py,storefront_chatbot/memory/store.py,placed
-agentic,/mnt/data/storefront-chatbot_full_merge/_ext_agentic/storefront_chatbot_skeleton/memory/rag/indexer.py,storefront_chatbot/memory/rag/indexer.py,placed
-agentic,/mnt/data/storefront-chatbot_full_merge/_ext_agentic/storefront_chatbot_skeleton/memory/rag/retriever.py,storefront_chatbot/memory/rag/retriever.py,placed
-agentic,/mnt/data/storefront-chatbot_full_merge/_ext_agentic/storefront_chatbot_skeleton/nlu/pipeline.py,storefront_chatbot/nlu/pipeline.py,placed
-agentic,/mnt/data/storefront-chatbot_full_merge/_ext_agentic/storefront_chatbot_skeleton/nlu/prompts.py,storefront_chatbot/nlu/prompts.py,placed
-agentic,/mnt/data/storefront-chatbot_full_merge/_ext_agentic/storefront_chatbot_skeleton/nlu/router.py,storefront_chatbot/nlu/router.py,placed
-agentic,/mnt/data/storefront-chatbot_full_merge/_ext_agentic/integrations/botframework/app.py,storefront_chatbot/app/app.py,overwrote_full
-agentic,/mnt/data/storefront-chatbot_full_merge/_ext_agentic/logged_in_bot/handler.py,storefront_chatbot/logged_in_bot/handler.py,placed

storefront-chatbot_scaffold_merged/storefront-chatbot/README_MERGE_NOTES.md

@@ -1,16 +0,0 @@
-
-# Merge Notes
-Timestamp: 2025-09-26T04:21:21.687107
-
-- Scaffold created under `storefront-chatbot/storefront_chatbot/`.
-- Both zips extracted to `legacy_src/` for full traceability.
-- Heuristic filename-based mapping used; **agentic** overwrites **full** on conflicts.
-- Any unmapped files remain in `legacy_src/...` for manual triage.
-
-## Quickstart
-```bash
-cd storefront-chatbot
-make dev
-make run
-# open http://localhost:7860
-```

storefront-chatbot_scaffold_merged/storefront-chatbot/legacy_src/agentic/README.md

@@ -1,6 +0,0 @@
-
-## Agentic Integration
-- Core bot: `agenticcore/chatbot/services.py`
-- Providers: `agenticcore/providers_unified.py`
-- CLI: `python -m agenticcore.cli agentic "hello"` (loads .env)
-- FastAPI demo: `uvicorn integrations.web.fastapi.web_agentic:app --reload`

storefront-chatbot_scaffold_merged/storefront-chatbot/legacy_src/agentic/agenticcore/__init__.py

@@ -1 +0,0 @@
-# package

storefront-chatbot_scaffold_merged/storefront-chatbot/legacy_src/agentic/agenticcore/chatbot/__init__.py

@@ -1 +0,0 @@
-# package

storefront-chatbot_scaffold_merged/storefront-chatbot/legacy_src/agentic/agenticcore/cli.py

@@ -1,186 +0,0 @@
-"""
-agenticcore.cli
-Console entrypoints:
-  - agentic: send a message to ChatBot and print reply JSON
-  - repo-tree: print a filtered tree view (uses tree.txt if present)
-  - repo-flatten: flatten code listing to stdout (uses FLATTENED_CODE.txt if present)
-"""
-import argparse, json, sys, traceback
-from pathlib import Path
-from dotenv import load_dotenv
-import os
-
-# Load .env variables into os.environ (project root .env by default)
-load_dotenv()
-
-
-def cmd_agentic(argv=None):
-    # Lazy import so other commands don't require ChatBot to be importable
-    from agenticcore.chatbot.services import ChatBot
-    # We call analyze_sentiment only for 'status' to reveal the actual chosen provider
-    try:
-        from agenticcore.providers_unified import analyze_sentiment
-    except Exception:
-        analyze_sentiment = None  # still fine; we'll show mode only
-
-    p = argparse.ArgumentParser(prog="agentic", description="Chat with AgenticCore ChatBot")
-    p.add_argument("message", nargs="*", help="Message to send")
-    p.add_argument("--debug", action="store_true", help="Print debug info")
-    args = p.parse_args(argv)
-    msg = " ".join(args.message).strip() or "hello"
-
-    if args.debug:
-        print(f"DEBUG argv={sys.argv}", flush=True)
-        print(f"DEBUG raw message='{msg}'", flush=True)
-
-    bot = ChatBot()
-
-    # Special commands for testing / assignments
-        # Special commands for testing / assignments
-    if msg.lower() == "status":
-        import requests  # local import to avoid hard dep for other commands
-
-        # Try a lightweight provider probe via analyze_sentiment
-        provider = None
-        if analyze_sentiment is not None:
-            try:
-                probe = analyze_sentiment("status ping")
-                provider = (probe or {}).get("provider")
-            except Exception:
-                if args.debug:
-                    traceback.print_exc()
-
-        # Hugging Face whoami auth probe
-        tok = os.getenv("HF_API_KEY", "")
-        who = None
-        auth_ok = False
-        err = None
-        try:
-            if tok:
-                r = requests.get(
-                    "https://huggingface.co/api/whoami-v2",
-                    headers={"Authorization": f"Bearer {tok}"},
-                    timeout=15,
-                )
-                auth_ok = (r.status_code == 200)
-                who = r.json() if auth_ok else None
-                if not auth_ok:
-                    err = r.text  # e.g., {"error":"Invalid credentials in Authorization header"}
-            else:
-                err = "HF_API_KEY not set (load .env or export it)"
-        except Exception as e:
-            err = str(e)
-
-        # Extract fine-grained scopes for visibility
-        fg = (((who or {}).get("auth") or {}).get("accessToken") or {}).get("fineGrained") or {}
-        scoped = fg.get("scoped") or []
-        global_scopes = fg.get("global") or []
-
-        # ---- tiny inference ping (proves 'Make calls to Inference Providers') ----
-        infer_ok, infer_err = False, None
-        try:
-            if tok:
-                model = os.getenv(
-                    "HF_MODEL_SENTIMENT",
-                    "distilbert-base-uncased-finetuned-sst-2-english"
-                )
-                r2 = requests.post(
-                    f"https://api-inference.huggingface.co/models/{model}",
-                    headers={"Authorization": f"Bearer {tok}", "x-wait-for-model": "true"},
-                    json={"inputs": "ping"},
-                    timeout=int(os.getenv("HTTP_TIMEOUT", "60")),
-                )
-                infer_ok = (r2.status_code == 200)
-                if not infer_ok:
-                    infer_err = f"HTTP {r2.status_code}: {r2.text}"
-        except Exception as e:
-            infer_err = str(e)
-        # -------------------------------------------------------------------------
-
-        # Mask + length to verify what .env provided
-        mask = (tok[:3] + "..." + tok[-4:]) if tok else None
-        out = {
-            "provider": provider or "unknown",
-            "mode": getattr(bot, "_mode", "auto"),
-            "auth_ok": auth_ok,
-            "whoami": who,
-            "token_scopes": {            # <--- added
-                "global": global_scopes,
-                "scoped": scoped,
-            },
-            "inference_ok": infer_ok,
-            "inference_error": infer_err,
-            "env": {
-                "HF_API_KEY_len": len(tok) if tok else 0,
-                "HF_API_KEY_mask": mask,
-                "HF_MODEL_SENTIMENT": os.getenv("HF_MODEL_SENTIMENT"),
-                "HTTP_TIMEOUT": os.getenv("HTTP_TIMEOUT"),
-            },
-            "capabilities": bot.capabilities(),
-            "error": err,
-        }
-
-    elif msg.lower() == "help":
-        out = {"capabilities": bot.capabilities()}
-
-    else:
-        try:
-            out = bot.reply(msg)
-        except Exception as e:
-            if args.debug:
-                traceback.print_exc()
-            out = {"error": str(e), "message": msg}
-
-    if args.debug:
-        print(f"DEBUG out={out}", flush=True)
-
-    print(json.dumps(out, indent=2), flush=True)
-
-
-def cmd_repo_tree(argv=None):
-    p = argparse.ArgumentParser(prog="repo-tree", description="Print repo tree (from tree.txt if available)")
-    p.add_argument("--path", default="tree.txt", help="Path to precomputed tree file")
-    args = p.parse_args(argv)
-    path = Path(args.path)
-    if path.exists():
-        print(path.read_text(encoding="utf-8"), flush=True)
-    else:
-        print("(no tree.txt found)", flush=True)
-
-
-def cmd_repo_flatten(argv=None):
-    p = argparse.ArgumentParser(prog="repo-flatten", description="Print flattened code listing")
-    p.add_argument("--path", default="FLATTENED_CODE.txt", help="Path to pre-flattened code file")
-    args = p.parse_args(argv)
-    path = Path(args.path)
-    if path.exists():
-        print(path.read_text(encoding="utf-8"), flush=True)
-    else:
-        print("(no FLATTENED_CODE.txt found)", flush=True)
-
-
-def _dispatch():
-    # Allow: python -m agenticcore.cli <subcommand> [args...]
-    if len(sys.argv) <= 1:
-        print("Usage: python -m agenticcore.cli <agentic|repo-tree|repo-flatten> [args]", file=sys.stderr)
-        sys.exit(2)
-    cmd, argv = sys.argv[1], sys.argv[2:]
-    try:
-        if cmd == "agentic":
-            cmd_agentic(argv)
-        elif cmd == "repo-tree":
-            cmd_repo_tree(argv)
-        elif cmd == "repo-flatten":
-            cmd_repo_flatten(argv)
-        else:
-            print(f"Unknown subcommand: {cmd}", file=sys.stderr)
-            sys.exit(2)
-    except SystemExit:
-        raise
-    except Exception:
-        traceback.print_exc()
-        sys.exit(1)
-
-
-if __name__ == "__main__":
-    _dispatch()

storefront-chatbot_scaffold_merged/storefront-chatbot/legacy_src/agentic/logged_in_bot/handler.py

@@ -1,17 +0,0 @@
-from agenticcore.chatbot.services import ChatBot
-
-_bot = ChatBot()
-
-def handle_turn(message, history, user):
-    history = history or []
-    try:
-        res = _bot.reply(message)
-        reply = res.get("reply") or "Noted."
-        label = res.get("sentiment")
-        conf = res.get("confidence")
-        if label is not None and conf is not None:
-            reply = f"{reply} (sentiment: {label}, confidence: {float(conf):.2f})"
-    except Exception as e:
-        reply = f"Sorry—error in ChatBot: {type(e).__name__}. Using fallback."
-    history = history + [[message, reply]]
-    return history

storefront-chatbot_scaffold_merged/storefront-chatbot/legacy_src/agentic/requirements.txt

@@ -1,7 +0,0 @@
-
-python-dotenv>=1.0
-fastapi>=0.115.0
-uvicorn[standard]>=0.30.0
-# Optional for Bot Framework sample:
-# aiohttp>=3.9
-# botbuilder-core>=4.14

storefront-chatbot_scaffold_merged/storefront-chatbot/legacy_src/agentic/storefront_chatbot_skeleton/README.md

@@ -1 +0,0 @@
-# Storefront Chatbot (skeleton)

storefront-chatbot_scaffold_merged/storefront-chatbot/legacy_src/agentic/storefront_chatbot_skeleton/anon_bot/handler.py

@@ -1 +0,0 @@
-def handle_turn(m,h,u): return (h or [])+[[m,'hi']]

storefront-chatbot_scaffold_merged/storefront-chatbot/legacy_src/agentic/storefront_chatbot_skeleton/app/app.py

@@ -1 +0,0 @@
-print('stub app.py')

storefront-chatbot_scaffold_merged/storefront-chatbot/legacy_src/agentic/storefront_chatbot_skeleton/core/config.py

@@ -1,2 +0,0 @@
-class Settings: pass
-settings = Settings()

storefront-chatbot_scaffold_merged/storefront-chatbot/legacy_src/agentic/storefront_chatbot_skeleton/guardrails/pii_redaction.py

@@ -1 +0,0 @@
-def redact(t): return t