feat: aggregate alerts per conversation for dashboard

src/codegate/api/v1.py

@@ -405,8 +405,12 @@ async def get_workspace_messages(workspace_name: str) -> List[v1_models.Conversa
         raise HTTPException(status_code=500, detail="Internal server error")
 
     try:
-        prompts_outputs = await dbreader.get_prompts_with_output(ws.id)
-        conversations, _ = await v1_processing.parse_messages_in_conversations(prompts_outputs)
+        prompts_with_output_alerts_usage = (
+            await dbreader.get_prompts_with_output_alerts_usage_by_workspace_id(ws.id)
+        )
+        conversations, _ = await v1_processing.parse_messages_in_conversations(
+            prompts_with_output_alerts_usage
+        )
         return conversations
     except Exception:
         logger.exception("Error while getting messages")

src/codegate/api/v1_models.py

@@ -147,6 +147,32 @@ def add_model_token_usage(self, model_token_usage: TokenUsageByModel) -> None:
         self.token_usage += model_token_usage.token_usage
 
 
+class Alert(pydantic.BaseModel):
+    """
+    Represents an alert.
+    """
+
+    @staticmethod
+    def from_db_model(db_model: db_models.Alert) -> "Alert":
+        return Alert(
+            id=db_model.id,
+            prompt_id=db_model.prompt_id,
+            code_snippet=db_model.code_snippet,
+            trigger_string=db_model.trigger_string,
+            trigger_type=db_model.trigger_type,
+            trigger_category=db_model.trigger_category,
+            timestamp=db_model.timestamp,
+        )
+
+    id: str
+    prompt_id: str
+    code_snippet: Optional[CodeSnippet]
+    trigger_string: Optional[Union[str, dict]]
+    trigger_type: str
+    trigger_category: Optional[str]
+    timestamp: datetime.datetime
+
+
 class PartialQuestionAnswer(pydantic.BaseModel):
     """
     Represents a partial conversation.
@@ -155,6 +181,7 @@ class PartialQuestionAnswer(pydantic.BaseModel):
     partial_questions: PartialQuestions
     answer: Optional[ChatMessage]
     model_token_usage: TokenUsageByModel
+    alerts: List[Alert] = []
 
 
 class Conversation(pydantic.BaseModel):
@@ -168,6 +195,7 @@ class Conversation(pydantic.BaseModel):
     chat_id: str
     conversation_timestamp: datetime.datetime
     token_usage_agg: Optional[TokenUsageAggregate]
+    alerts: List[Alert] = []
 
 
 class AlertConversation(pydantic.BaseModel):

src/codegate/api/v1_processing.py

@@ -8,6 +8,7 @@
 import requests
 import structlog
 
+from codegate.api import v1_models
 from codegate.api.v1_models import (
     AlertConversation,
     ChatMessage,
@@ -200,10 +201,15 @@ async def _get_partial_question_answer(
         model=model, token_usage=token_usage, provider_type=provider
     )
 
+    alerts: List[v1_models.Alert] = [
+        v1_models.Alert.from_db_model(db_alert) for db_alert in row.alerts
+    ]
+
     return PartialQuestionAnswer(
         partial_questions=request_message,
         answer=output_message,
         model_token_usage=model_token_usage,
+        alerts=alerts,
     )
 
 
@@ -367,6 +373,7 @@ async def match_conversations(
     for group in grouped_partial_questions:
         questions_answers: List[QuestionAnswer] = []
         token_usage_agg = TokenUsageAggregate(tokens_by_model={}, token_usage=TokenUsage())
+        alerts: List[v1_models.Alert] = []
         first_partial_qa = None
         for partial_question in sorted(group, key=lambda x: x.timestamp):
             # Partial questions don't contain the answer, so we need to find the corresponding
@@ -385,6 +392,7 @@ async def match_conversations(
                 qa = _get_question_answer_from_partial(selected_partial_qa)
                 qa.question.message = parse_question_answer(qa.question.message)
                 questions_answers.append(qa)
+                alerts.extend(selected_partial_qa.alerts)
                 token_usage_agg.add_model_token_usage(selected_partial_qa.model_token_usage)
 
         # only add conversation if we have some answers
@@ -398,6 +406,7 @@ async def match_conversations(
                 chat_id=first_partial_qa.partial_questions.message_id,
                 conversation_timestamp=first_partial_qa.partial_questions.timestamp,
                 token_usage_agg=token_usage_agg,
+                alerts=alerts,
             )
             for qa in questions_answers:
                 map_q_id_to_conversation[qa.question.message_id] = conversation

src/codegate/db/connection.py

@@ -2,7 +2,7 @@
 import json
 import uuid
 from pathlib import Path
-from typing import List, Optional, Type
+from typing import Dict, List, Optional, Type
 
 import structlog
 from alembic import command as alembic_command
@@ -19,6 +19,7 @@
     Alert,
     GetPromptWithOutputsRow,
     GetWorkspaceByNameConditions,
+    IntermediatePromptWithOutputUsageAlerts,
     MuxRule,
     Output,
     Prompt,
@@ -89,7 +90,6 @@ def does_db_exist(self):
 
 
 class DbRecorder(DbCodeGate):
-
     def __init__(self, sqlite_path: Optional[str] = None):
         super().__init__(sqlite_path)
 
@@ -517,7 +517,6 @@ async def add_mux(self, mux: MuxRule) -> MuxRule:
 
 
 class DbReader(DbCodeGate):
-
     def __init__(self, sqlite_path: Optional[str] = None):
         super().__init__(sqlite_path)
 
@@ -586,6 +585,64 @@ async def get_prompts_with_output(self, workpace_id: str) -> List[GetPromptWithO
         )
         return prompts
 
+    async def get_prompts_with_output_alerts_usage_by_workspace_id(
+        self, workspace_id: str
+    ) -> List[GetPromptWithOutputsRow]:
+        """
+        Get all prompts with their outputs, alerts and token usage by workspace_id.
+        """
+
+        sql = text(
+            """
+            SELECT
+                p.id as prompt_id, p.timestamp as prompt_timestamp, p.provider, p.request, p.type,
+                o.id as output_id, o.output, o.timestamp as output_timestamp, o.input_tokens, o.output_tokens, o.input_cost, o.output_cost,
+                a.id as alert_id, a.code_snippet, a.trigger_string, a.trigger_type, a.trigger_category, a.timestamp as alert_timestamp
+            FROM prompts p
+            LEFT JOIN outputs o ON p.id = o.prompt_id
+            LEFT JOIN alerts a ON p.id = a.prompt_id
+            WHERE p.workspace_id = :workspace_id
+            ORDER BY o.timestamp DESC, a.timestamp DESC
+            """  # noqa: E501
+        )
+        conditions = {"workspace_id": workspace_id}
+        rows = await self._exec_select_conditions_to_pydantic(
+            IntermediatePromptWithOutputUsageAlerts, sql, conditions, should_raise=True
+        )
+
+        prompts_dict: Dict[str, GetPromptWithOutputsRow] = {}
+        for row in rows:
+            prompt_id = row.prompt_id
+            if prompt_id not in prompts_dict:
+                prompts_dict[prompt_id] = GetPromptWithOutputsRow(
+                    id=row.prompt_id,
+                    timestamp=row.prompt_timestamp,
+                    provider=row.provider,
+                    request=row.request,
+                    type=row.type,
+                    output_id=row.output_id,
+                    output=row.output,
+                    output_timestamp=row.output_timestamp,
+                    input_tokens=row.input_tokens,
+                    output_tokens=row.output_tokens,
+                    input_cost=row.input_cost,
+                    output_cost=row.output_cost,
+                    alerts=[],
+                )
+            if row.alert_id:
+                alert = Alert(
+                    id=row.alert_id,
+                    prompt_id=row.prompt_id,
+                    code_snippet=row.code_snippet,
+                    trigger_string=row.trigger_string,
+                    trigger_type=row.trigger_type,
+                    trigger_category=row.trigger_category,
+                    timestamp=row.alert_timestamp,
+                )
+                prompts_dict[prompt_id].alerts.append(alert)
+
+        return list(prompts_dict.values())
+
     async def get_alerts_by_workspace(
         self, workspace_id: str, trigger_category: Optional[str] = None
     ) -> List[Alert]:

src/codegate/db/models.py

@@ -1,6 +1,6 @@
 import datetime
 from enum import Enum
-from typing import Annotated, Any, Dict, Optional
+from typing import Annotated, Any, Dict, List, Optional
 
 from pydantic import BaseModel, StringConstraints
 
@@ -131,6 +131,32 @@ class ProviderType(str, Enum):
     openrouter = "openai"
 
 
+class IntermediatePromptWithOutputUsageAlerts(BaseModel):
+    """
+    An intermediate model to represent the result of a query
+    for a prompt and related outputs, usage stats & alerts.
+    """
+
+    prompt_id: Any
+    prompt_timestamp: Any
+    provider: Optional[Any]
+    request: Any
+    type: Any
+    output_id: Optional[Any]
+    output: Optional[Any]
+    output_timestamp: Optional[Any]
+    input_tokens: Optional[int]
+    output_tokens: Optional[int]
+    input_cost: Optional[float]
+    output_cost: Optional[float]
+    alert_id: Optional[Any]
+    code_snippet: Optional[Any]
+    trigger_string: Optional[Any]
+    trigger_type: Optional[Any]
+    trigger_category: Optional[Any]
+    alert_timestamp: Optional[Any]
+
+
 class GetPromptWithOutputsRow(BaseModel):
     id: Any
     timestamp: Any
@@ -144,6 +170,7 @@ class GetPromptWithOutputsRow(BaseModel):
     output_tokens: Optional[int]
     input_cost: Optional[float]
     output_cost: Optional[float]
+    alerts: List[Alert] = []
 
 
 class WorkspaceWithSessionInfo(BaseModel):