Tomas Kracmar
9ec193ea13
- Add llm_error field to AskResponse so users know why AI summarisation was skipped - Show orange warning banner in frontend when LLM is not configured or call fails - Update AskEndpoint tests to assert llm_error presence
96 lines
2.1 KiB
Python
96 lines
2.1 KiB
Python
from pydantic import BaseModel, ConfigDict
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class EventItem(BaseModel):
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id: str | None = None
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timestamp: str | None = None
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service: str | None = None
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operation: str | None = None
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result: str | None = None
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actor_display: str | None = None
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target_displays: list[str] | None = None
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display_summary: str | None = None
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display_category: str | None = None
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dedupe_key: str | None = None
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actor: dict | None = None
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targets: list[dict] | None = None
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raw: dict | None = None
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raw_text: str | None = None
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tags: list[str] | None = None
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comments: list[dict] | None = None
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model_config = ConfigDict(extra="allow")
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class PaginatedEventResponse(BaseModel):
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items: list[dict]
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total: int
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page_size: int
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next_cursor: str | None = None
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class FilterOptionsResponse(BaseModel):
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services: list[str]
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operations: list[str]
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results: list[str]
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actors: list[str]
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actor_upns: list[str]
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devices: list[str]
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class FetchAuditLogsResponse(BaseModel):
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stored_events: int
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errors: list[str]
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class SourceHealthResponse(BaseModel):
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source: str
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last_fetch_time: str | None = None
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last_attempt_time: str | None = None
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status: str
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class TagsUpdateRequest(BaseModel):
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tags: list[str]
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class BulkTagsRequest(BaseModel):
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tags: list[str]
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mode: str = "append" # "append" or "replace"
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class CommentAddRequest(BaseModel):
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text: str
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class AlertRuleResponse(BaseModel):
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id: str | None = None
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name: str
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enabled: bool
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severity: str
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conditions: list[dict]
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message: str
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class AskRequest(BaseModel):
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question: str
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class AskEventRef(BaseModel):
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id: str | None = None
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timestamp: str | None = None
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operation: str | None = None
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actor_display: str | None = None
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target_displays: list[str] | None = None
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display_summary: str | None = None
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service: str | None = None
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result: str | None = None
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class AskResponse(BaseModel):
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answer: str
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events: list[AskEventRef]
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query_info: dict
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llm_used: bool
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llm_error: str | None = None
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