wehub-resource-sync
89 lines
2.8 KiB
Python
89 lines
2.8 KiB
Python
# Copyright 2025 Google LLC
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#
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# Licensed under the Apache License, Version 2.0 (the "License");
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# you may not use this file except in compliance with the License.
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# You may obtain a copy of the License at
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#
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# http://www.apache.org/licenses/LICENSE-2.0
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#
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# Unless required by applicable law or agreed to in writing, software
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# distributed under the License is distributed on an "AS IS" BASIS,
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# WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.
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# See the License for the specific language governing permissions and
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# limitations under the License.
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from google.cloud.bigquery import SchemaField
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from pydantic import BaseModel
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from typing import List
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class Intent(BaseModel):
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name: str
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ai_model: str
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ai_temperature: float
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description: str
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prompt: str
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questions: List[str]
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is_active: bool
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gcp_bucket: str = ""
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def __schema__() -> List[SchemaField]:
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return [
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SchemaField("name", "STRING", mode="REQUIRED"),
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SchemaField("ai_model", "STRING", mode="REQUIRED"),
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SchemaField("ai_temperature", "NUMBER", mode="REQUIRED"),
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SchemaField("description", "STRING", mode="REQUIRED"),
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SchemaField("prompt", "STRING", mode="REQUIRED"),
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SchemaField("questions", "STRING", mode="REPEATED"),
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SchemaField("is_active", "BOOLEAN", mode="REQUIRED"),
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SchemaField("gcp_bucket", "STRING", mode="REQUIRED"),
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]
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def __from_row__(row):
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return Intent(
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name=row[0],
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ai_model=row[1],
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ai_temperature=row[2],
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description=row[3],
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prompt=row[4],
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questions=row[5],
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is_active=row[6],
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gcp_bucket=row[7],
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)
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def to_dict(self):
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return {
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"name": self.name,
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"ai_model": self.ai_model,
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"ai_temperature": self.ai_temperature,
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"description": self.description,
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"prompt": self.prompt,
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"questions": self.questions,
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"is_active": self.is_active,
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"gcp_bucket": self.gcp_bucket,
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}
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class Embedding(BaseModel):
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id: str
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text: str
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index: str
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author: str
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timestamp: str
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def __schema__() -> List[SchemaField]:
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return [
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SchemaField("id", "STRING", mode="REQUIRED"),
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SchemaField("text", "STRING", mode="REQUIRED"),
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SchemaField("index", "STRING", mode="REQUIRED"),
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SchemaField("author", "STRING", mode="REQUIRED"),
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SchemaField("timestamp", "TIMESTAMP", mode="REQUIRED"),
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]
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def to_dict(self):
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return {
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"id": self.id,
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"text": self.text,
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"index": self.index,
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"author": self.author,
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"timestamp": self.timestamp,
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} |