mirror of
https://github.com/hanzoai/insights.git
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zeekay
1b367e2b62
The tree was a debranded snapshot of upstream taken around 2026-02-20, and upstream has moved about five months since. This replaces it with upstream master, mechanically re-derived: bin/debrand does the rename, and the pipeline and squashed migrations are restored from the shipped tree. Not a merge. The previous import replaced the tree wholesale in a single commit, so there is no shared content history to merge against. Reproducing the rename on the new tree is what actually converges. What survives: .hanzo/workflows, the Dockerfiles and bin/docker* entrypoints, compose files, LLM.md, and insights/migrations. The squashed initial migration is load-bearing — the live database records it by name, so upstream's ~918 individual migrations cannot come back. Nine products are dropped as unreferenced. Twenty-one more that we do not run are kept anyway because the core app still imports them; unpicking those is a refactor and does not belong in a rebase. This base does not build yet, and the reasons are not in the rename: upstream now wants Python 3.13.13 against our 3.12.12 and Django 5.2 against our 4.2, and the dependency manifests still name upstream packages that we republish under our own names. Those are decisions, not renames.
86 lines
2.5 KiB
Python
86 lines
2.5 KiB
Python
"""Gemini client utilities for surveys."""
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import uuid
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from typing import TypeVar
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from django.conf import settings
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import structlog
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import hanzo_insights
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from google.genai.types import GenerateContentConfig
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from hanzo_insights.ai.gemini import genai
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from pydantic import BaseModel
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from rest_framework import exceptions
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from insights.event_usage import groups
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logger = structlog.get_logger(__name__)
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T = TypeVar("T", bound=BaseModel)
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def create_gemini_client():
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if settings.DEBUG and hanzo_insights.disabled:
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hanzo_insights.disabled = False
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if not hanzo_insights.host:
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hanzo_insights.host = settings.SITE_URL
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insights_client = hanzo_insights.default_client
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if not insights_client:
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logger.warning("Insights default_client not available, AI observability will not be tracked")
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return genai.Client(
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api_key=settings.GEMINI_API_KEY,
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insights_client=insights_client,
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)
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def generate_structured_output(
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*,
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model: str,
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system_prompt: str,
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user_prompt: str,
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response_schema: type[T],
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insights_properties: dict | None = None,
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team_id: int | None = None,
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distinct_id: str | None = None,
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billable: bool = False,
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) -> tuple[T, str]:
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client = create_gemini_client()
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config = GenerateContentConfig(
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system_instruction=system_prompt,
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response_mime_type="application/json",
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response_json_schema=response_schema.model_json_schema(),
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)
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trace_id = str(uuid.uuid4())
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properties = {**(insights_properties or {})}
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insights_groups = {"project": str(team_id)} if team_id else {}
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if billable and team_id is not None:
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properties["team_id"] = team_id
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properties["$ai_billable"] = True
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insights_groups.update(groups())
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try:
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response = client.models.generate_content(
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model=model,
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contents=user_prompt,
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config=config,
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insights_distinct_id=distinct_id or "",
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insights_trace_id=trace_id,
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insights_properties=properties,
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insights_groups=insights_groups,
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)
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if not response.text:
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raise exceptions.ValidationError("Gemini returned empty response")
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return response_schema.model_validate_json(response.text), trace_id
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except exceptions.ValidationError:
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raise
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except Exception:
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logger.exception("Gemini API call failed", model=model, properties=properties)
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raise exceptions.APIException("Failed to generate response")
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