fixed bugs

2026-06-12 23:23:21 +00:00 · 2026-02-22 23:46:16 +00:00
parent 88ca23adde
commit 6fc607e32c
7 changed files with 195 additions and 10 deletions
--- a/app/database.py
+++ b/app/database.py
@@ -0,0 +1,25 @@
+from supabase import create_client, Client
+from app.config import settings
+import logging
+
+logger = logging.getLogger(__name__)
+
+_supabase_client: Client = None
+
+
+def get_supabase() -> Client:
+    global _supabase_client
+    if _supabase_client is None:
+        _supabase_client = create_client(
+            settings.supabase_url,
+            settings.supabase_service_role_key,
+        )
+    return _supabase_client
+
+
+def get_supabase_anon() -> Client:
+    """For user-scoped operations (respects RLS)"""
+    return create_client(
+        settings.supabase_url,
+        settings.supabase_anon_key,
+    )
--- a/app/models.py
+++ b/app/models.py
@@ -98,7 +98,7 @@ class ChatbotCreate(BaseModel):
    name: str = Field(min_length=2, max_length=100)
    description: Optional[str] = None
    system_prompt: Optional[str] = None
-    model: str = "accounts/fireworks/models/llama-v3p1-70b-instruct"
+    model: str = "accounts/fireworks/models/kimi-k2-instruct-0905"
    temperature: float = Field(default=0.7, ge=0.0, le=2.0)
    max_tokens: int = Field(default=1000, ge=100, le=8000)
    primary_color: str = "#6366f1"
--- a/app/services/llm.py
+++ b/app/services/llm.py
@@ -32,11 +32,10 @@ class LLMService:
        except Exception as e:
            logger.error(f"LLM error ({provider}/{model}): {e}")
            # Fallback to a basic model if available
-            if model != "accounts/fireworks/models/llama-v3p1-70b-instruct" and settings.fireworks_api_key:
-                logger.info("Falling back to Fireworks AI")
+            if model != "accounts/fireworks/models/kimi-k2-instruct-0905" and settings.fireworks_api_key:
                return await self._call_fireworks(
                    messages,
-                    "accounts/fireworks/models/llama-v3p1-70b-instruct",
+                    "accounts/fireworks/models/kimi-k2-instruct-0905",
                    max_tokens,
                    temperature,
                )
@@ -137,7 +136,7 @@ class LLMService:
        max_tokens: int,
        temperature: float,
    ) -> Dict[str, Any]:
-        import google.generativeai as genai
+        import google.genai as genai

        genai.configure(api_key=settings.google_api_key)
        gemini_model = genai.GenerativeModel(model)
--- a/app/services/rag.py
+++ b/app/services/rag.py
@@ -103,7 +103,7 @@ class RAGEngine:
        messages.append({"role": "user", "content": query})

        # Step 5: Generate response
-        model = chatbot_config.get("model", "accounts/fireworks/models/llama-v3p1-70b-instruct")
+        model = chatbot_config.get("model", "accounts/fireworks/models/kimi-k2-instruct-0905")
        try:
            result = await self.llm_svc.generate(
                messages=messages,
--- a/app/services/vector_store.py
+++ b/app/services/vector_store.py
@@ -29,7 +29,6 @@ class VectorStoreService:
        self.client = get_qdrant_client()

    def create_collection(self, collection_name: str) -> bool:
-        """Create a new collection for a chatbot"""
        try:
            self.client.create_collection(
                collection_name=collection_name,
@@ -38,6 +37,12 @@ class VectorStoreService:
                    distance=Distance.COSINE,
                ),
            )
+            # Create payload index for filtering/deleting by document_id
+            self.client.create_payload_index(
+                collection_name=collection_name,
+                field_name="document_id",
+                field_schema="keyword",
+            )
            logger.info(f"Created collection: {collection_name}")
            return True
        except Exception as e:
@@ -102,12 +107,12 @@ class VectorStoreService:
    ) -> List[Dict[str, Any]]:
        """Search for similar vectors"""
        try:
-            results = self.client.search(
+            results = self.client.query_points(
                collection_name=collection_name,
-                query_vector=query_vector,
+                query=query_vector,
                limit=limit,
                score_threshold=score_threshold,
-            )
+            ).points
            return [
                {
                    "id": str(r.id),
--- a/pyproject.toml
+++ b/pyproject.toml
@@ -5,6 +5,7 @@ description = "Add your description here"
 requires-python = ">=3.12"
 dependencies = [
    "fastapi>=0.131.0",
+    "generativeai>=0.0.1",
    "openai>=2.21.0",
    "qdrant-client>=1.17.0",
    "sentry-sdk>=2.53.0",
--- a/uv.lock
+++ b/uv.lock
@@ -197,6 +197,7 @@ version = "0.1.0"
 source = { virtual = "." }
 dependencies = [
    { name = "fastapi" },
+    { name = "generativeai" },
    { name = "openai" },
    { name = "qdrant-client" },
    { name = "sentry-sdk" },
@@ -208,6 +209,7 @@ dependencies = [
 [package.metadata]
 requires-dist = [
    { name = "fastapi", specifier = ">=0.131.0" },
+    { name = "generativeai", specifier = ">=0.0.1" },
    { name = "openai", specifier = ">=2.21.0" },
    { name = "qdrant-client", specifier = ">=1.17.0" },
    { name = "sentry-sdk", specifier = ">=2.53.0" },
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 ]

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 version = "2026.2.0"
@@ -315,6 +326,18 @@ wheels = [
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 ]

+[[package]]
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+version = "0.0.1"
+source = { registry = "https://pypi.org/simple" }
+dependencies = [
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+]
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+
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 version = "1.78.1"
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